Abstract: The specification describes data processes for analyzing large data steams for target anomalies. “Sequential dependencies” (SDs) are chosen for ordered data and present a framework for discovering which subsets of the data obey a given sequential dependency. Given an interval G, an SD on attributes X and Y, written as X?G Y, denotes that the distance between the Y-values of any two consecutive records, when sorted on X, are within G. SDs may be extended to Conditional Sequential Dependencies (CSDs), consisting of an underlying SD plus a representation of the subsets of the data that satisfy the SD. The conditional approximate sequential dependencies may be expressed as pattern tableaux, i.e., compact representations of the subsets of the data that satisfy the underlying dependency.

Abstract: A method for determining the presence of a biological entity. The method may include entering into a digital computer, at least a plurality of first input values associated with a first genetic element (e.g., mecA), a plurality of second input values associated with a second genetic element (femA), and a plurality of third input values associated with a third genetic element (e.g., orfX) associated with a plurality of samples. Each sample includes a first input value in the plurality of first input values, a second input value in the plurality of second input values, and a third input value in the plurality of third input values.

Abstract: Methods, databases and software for determining the risk of an adverse health event for patient by analysis of the protein sequence of the patient are described. The methods involve obtaining a protein sequence that is associated with a specific disorder from the patient. The protein sequence from the patient is compared to a database of sequences of the same protein and is analyzed to determine the conservation score of the amino acid residues in the protein. Those amino acid residues having high conservation scores will be further analyzed to determine if there are mutations present at those highly conserved positions. Patients having proteins with mutations in highly conserved positions are determined to have a higher risk of an adverse event due to the disorder.

Abstract: A method and a system for recognizing power consumption behaviors of electric appliances in a loop are provided. When a variation value of a power consumption information of the loop exceeds a threshold, a current value of the power consumption information is served as a main loop factor value of the loop, and a similar combinative factor value close to the main loop factor value is looked up in a behavior-factor mapping table. If the similar combinative factor value is not found, the main loop factor value corresponding to a new power consumption behavior is obtained according to the variation value of the power consumption information to reconstruct the behavior-factor mapping table. After obtaining the similar combinative factor value from the behavior-factor mapping table, a current electric appliance power consumption behavior of the loop is determined according to a power consumption behavior combination corresponding to the similar combinative factor value.

Abstract: A system and method of predicting telemetry signal dropout creates a prediction of patient destination. The method includes defining a telemetry coverage area, receiving a location of a monitored patient, recording the received location, calculating a trajectory and speed, and comparing the location, trajectory, and speed of the patient to historical patient movement trends to predict patient destination. The system includes a remote unit worn by a patient and at least one telemetry receiver, a location services computer, a patient location database, a location prediction computer, and a graphical display. The location services computer receives the location information and computes a location, speed, and trajectory of the patient. The location prediction computer compares the computed location, speed, and trajectory of the patient to previously acquired locations, speeds, and trajectories to predict a patient destination.

Abstract: Risk factor data can be processed by a risk factor coaching engine to determine health risk for a user. The risk factor coaching engine may be executed within a health coaching protocol to perform actions that provide a user with information, recommendations and alerts via other coaching engines, and appointments with health care professionals. The risk factor coaching engine may also predict attribute values for a user based on a time period and goals for user health data upon which the predicted attribute value is based.

Abstract: One embodiment of the present invention provides a system for estimating a number of stress factors related to a worker. During operation, the system records a sequence of work steps of the worker for a predetermined period of time, and extracts a number of temporal patterns (T-patterns) from the sequence of work steps. Based on the extracted T-patterns, the system calculates T-pattern statistics, and applies a classification method on the calculated T-pattern statistics to produce a classification result. The system then estimates one or more of the stress factors based on the classification result.

Abstract: One embodiment provides a system for generating an inference model that determines an activity type for a user from contextual information. During operation, the system receives a set of contextual information associated with the user, wherein the contextual information includes at least a set of location coordinates. The system then determines an association between the contextual information and an activity type. Next, the system generates an activity inference model based in part on the association, wherein the activity inference model takes an instance of contextual information as an input parameter and outputs a corresponding activity type. The model's parameters are based at least on statistics associated with the user's contextual history but not based on the complete contents of the user's contextual history.

Abstract: A system for product recommendation comprises several automatic service equipments which are mutually linked via a communication network. Each of the automatic service equipments obtains data of other user groups, data of other product groups and other, relation matrixes from other automatic service equipments. Each of the automatic service equipments integrates data of other user groups into data of local user groups stored in itself, and also integrates data of other product groups into data of local product groups stored in itself. Each of the automatic service equipments revises a local relation matrix stored in itself, such that the revised local relation matrix records correlation coefficients between the integrated local user groups and the integrated local product groups. Each of the automatic service equipments performs product recommendation according to the integrated data and input data received through an input device.

Abstract: Systems and methods are provided for an expert search engine. In one embodiment, a method may employ a computer based system to define a meaning taxonomy including one or more meaning loaded entities, associate documents to the meaning taxonomy based on a set of expert rules and the syntactic structures included in the documents and provide the results to a user. In another embodiment, a system includes interfaces for meaning taxonomy, expert rule and search criteria information. The information provided by these interfaces is then used to determine how a set of documents maps to meaning taxonomy to assist the user in locating documents that are most interesting from a meaning perspective and to provide a user with an interface to navigate the meaning taxonomy as it applies to the set of documents.

Abstract: An exemplary embodiment of the present invention provides a computer implemented method of developing a classifier. The method includes receiving input for a case, the case comprising a plurality of instances and an example, the example comprising a plurality of data fields each corresponding to one of the plurality of instances, wherein the input indicates which, if any, of the instances includes a data field belonging to a target class. The method also includes training the classifier based, at least in part, on the input from the trainer.

Abstract: Techniques for motion recognition using multiple data streams are disclosed. Multiple data streams from inertia sensors as well as non-inertial sensors are received to derive a motion recognition signal from motion recognizers. These motion recognizers are originally constructed from a training set of motion signals and may be updated with received multiple sensing signals. In one aspect, multiple data streams are converted to device-independent motion signals that are applied with the motion recognizers to provide a generalized motion recognition capability.

Abstract: A mirror system includes an image sensor coupled to a mirror, and gathers consumer shopping preferences for merchandise items. During operation, the system gathers one or more sequential images, from the image sensor, of a consumer wearing a first wearable merchandise item in front of the image sensor. Next, the system identifies in the one or more sequential images a first merchandise item being worn by the consumer. Then, the system determines a demographic group associated with the consumer, and detects behavior patterns for the consumer, wherein the behavior pattern indicates an interest level of the consumer for the identified merchandise item. The system then determines a mapping between the identified consumer demographic group and an interest level for the identified merchandise item, and produces a model which encodes the mapping.

Abstract: An invention for comparing utility and warranty of services in an information (IT) stack is provided. Embodiments of this invention are directed to comparing utility and warranty of services in an information technology (IT) stack comprising a plurality of layers, at least one of the plurality of layers having a set of services. In these embodiments, a utility and warranty tool provides this capability. Specifically, the utility and warranty tool comprises a determination component configured to determine, at each layer of the IT stack, a required utility and warranty (RUW) value for each of the set of services, wherein the RUW value represents a desired solution for implementing a business process; and determine, at each layer of the IT stack, an available utility and warranty (AUW) value for each of the set of services, wherein the AUW value is a measure of an ability of each of the set of services to satisfy the RUW at each layer of the IT stack.

Abstract: Described herein are embodiments directed to electronically managing infections in healthcare facilities. A treating infection preventionist (“IP”) uses a remote computer to access patients assigned to the IP. A server analyzes healthcare data associated with patients and groups the patients into different infection control categories (“IC categories”) for treatment or further monitoring. The IP can view assigned patients by their IC categories, receive alerts for potentially dangerous conditions in patients, and access real-time patient records from a remote computer.

Abstract: A method for determining regions of influence of a plurality of fluid moving devices in an infrastructure is provided. In the method, a plurality of clusters are generated, with each of the plurality of clusters containing a representation of fluid supply data pertaining to a fluid moving device and one or more of the plurality of sensors based upon collected sensor and fluid supply data. In addition, regions of influence of each of the plurality of fluid moving devices are identified from an analysis of the generated clusters.

Abstract: An Expert System for analyzing a gap by determining a first parameter from a base document, a second parameter from a target document, a difference in magnitude between the first parameter and the second parameter, and a subject score as a function of the difference in magnitude and a subject importance.

Abstract: A system for facilitating patient-managed anticoagulant therapy having patient portals for receiving patient information associated with a current case. Each patient portal has a patient portal processor, patient portal memory, and an output device, and the patient information including current factors affecting patient reaction to anticoagulant therapy. The system also has a case repository connected to each patient portal, the case repository having a case repository processor and a case repository memory storing previous cases, each case having previous factors affecting patient reaction to anticoagulant therapy and at least one solution. The patient portal processor and/or the case repository processor are programmed for selecting at least one relevant case similar to the current case and provide the solution to that case for application to the current case. A similarity metric is applied to each previous case to determine the similarity of each previous case to the current case.

Abstract: A system evaluates media materials such as programs and advertising by obtaining neuro-response data such as central nervous system, autonomic nervous system, and effector system measurements from subjects exposed to the media materials. Media materials are categorized and/or tagged. Corresponding media materials eliciting similar neuro-response data from users in similar demographic categories are identified. In some examples, ratings predictions are generated by identifying ratings associated with corresponding media materials eliciting similar neuro-response data.

Abstract: Contact expectancy and normalization is described. A product can be normalized based on product complexity. The normalized product can be compared to a database of products having a similar product complexity to determine contact expectancy for the product. When a quantity of contacts is received, the quantity of contacts can be weighed based on the normalization of the product. The weighed quantity can then be compared to other weighed quantities of other products to facilitate an understanding of whether a product has an issue and/or achievement and to facilitate the allocation of quality control resources within an organization.

Abstract: Provided are a channel server, a channel prediction server, a terminal, and a method for a fast channel switching. The channel server may generate at least one delay multicast stream from an original multicast stream by applying a different delay value based on channel preference information, and may determine an optimal multicast stream from the at least one delay multicast stream, and transmit, to a terminal, response information associated with the optimal multicast stream in response to query information associated with the original multicast stream received from the terminal.

Abstract: The present invention provides methods and systems for binary classification of items. Methods and systems are provided for constructing a machine learning-based and pairwise ranking method-based classification model for binary classification of items as positive or negative with regard to a single class, based on training using a training set of examples including positive examples and unlabelled examples. The model includes only one hyperparameter and only one threshold parameter, which are selected to optimize the model with regard to constraining positive items to be classified as positive while minimizing a number of unlabelled items classified as positive.

Abstract: A system, apparatus, method, and computer program product encoding the method are provided for expectation fulfillment evaluation. The system includes a natural language processing component that extracts sets of normalized tasks from an input expectation document and an input fulfillment document. A task list comparison component compares the two sets of tasks and identifies each match between a normalized task in the first set and a normalized task in the second set, each normalized task in the first set which has no matching task in the second set, and each normalized task in the second set which has no matching task in the first set. A report generator outputs a report based on the comparison.

Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable storage media for tagging a known signal of interest. Initially, the system classifies the data from an input signal using a short-term classifier, wherein there are at least two classifications available, a first classification of the data as having no identified outputs and a second classification of the data as at least one potential signal of interest, wherein the short-term classifier also bypasses data that is known to be of no interest. After the short-term classifier classifies the inputs, it collapses the input data that is classified as having no identified outputs. This allows the short-term classifier to create time-variant data. Finally, the system will tag a known signal of interest in the time-variant data that was classified as having at least one potential signal of interest. Therefore, a system for tagging a known signal of interest is described.

Abstract: A search device includes an accelerator and a CPU. The accelerator includes a plurality of search cores and a scheduler. The scheduler is configured to distribute target text to the search cores in units of records ordered by record sequence number, and the search cores are configured to perform automaton matching on the distributed records in a parallel fashion. The CPU is configured to construct an automaton in accordance with a search expression input thereto, and to perform logical expression evaluations in order of the record sequence number on matching results obtained on a record-by-record basis.

Abstract: System and methods for generating one more tests to be performed on a payment device are provided. A vendor selects one or more features to be included in his payment device and provides that information to the system. The system analyzes the information and provides a list of tests to be performed on the reference payment device. In addition, the system also provides a list of one or more reference payment device configurations provided for testing purposes.

Abstract: A content recommendation apparatus and method are provided. The content recommendation apparatus may record user history information of a user of a personal communication terminal where a web browsing service or mobile communication is possible. The user history information may be used to generate preference information of the user. Based on the preference information, content may be recommended to the user through a display based on a category type of the content such that different types of content are visually differentiated on the display.

Abstract: A device for converting acoustic data collected by a stethoscope into digital data for transmission to a processor for storage and/or comparison with data stored in a database, and to optionally provide computer generated suggestions for diagnosis, is provided in the form of an in-line device interposable between a head of the stethoscope and an acoustic transmission portion of the stethoscope, or is integral with the head, and advantageously has the appearance of an icon of pleasing appearance, for example, a butterfly, in which are incorporated the structural requisites of a functioning stethoscope and/or capabilities for receiving and transmitting to a diagnostician, audio signals gathered from patient examination, and optionally also other data collected at examination and/or following the examination. The butterfly-shaped device, includes a central body advantageously serving as a conduit for transmitting sound received from the patient to the physician or a remote system for analysis and diagnosis.

Abstract: In a method for assessing an environmental footprint of an object, economic data and environmental data of the object is aggregated and complexity of the object is determined. In addition, the economic data, the environmental data, and the complexity of the object are correlated and a model of an environmental footprint of the object is created based upon the correlation. Moreover, the environmental footprint of the object is assessed through application of the model.

Abstract: A method for providing a data translation may include receiving an input string comprising a free text response indicative of a physiologic condition, and applying a selected transform to the input string to transform the input string into a translated value indicative of a value associated with the physiologic condition for storage in a fact repository. The selected transform may be selected from a library of potential transforms based on results of the selected transform relative to a rational range associated with the physiologic condition. A corresponding computer program product and apparatus are also provided.

Abstract: A method comprises identifying one or more relationships between a target individual and one or more persons based at least in part on a plurality of emails. The plurality of emails comprise one or more outbound emails, which may comprise emails sent to the target individual from the one or more persons. The plurality of emails further comprise one or more inbound emails, which may comprise emails sent from the target individual to the one or more persons. The method further comprises, for each of the one or more relationships, calculating an amount of outbound emails and an amount of inbound emails. The method further comprises assigning a classification to each of the one or more relationships based at least in part on the amount of outbound emails and the amount of inbound emails. The method further comprises sorting the one or more relationships based at least in part on the classification assigned to each of the one or more relationships.

Abstract: The present invention relates to a system and method for information process using artificially constructed apparatus. In one preferred embodiment of the present invention, if the task for the system of the present invention is to summarize document content, the thinking mode will first analyze the identification information of the element files for words (or phrases) in the document to identify key words (or phrases), then the key words (or phrases) will be analyzed to establish links between key words (phrases). By the frequency of appearances of the key words (or phrases), in combination of the appearances of other key words (or phrases) that are related to the key words, the most important key word (or phrase) or key words (or phrases) can be obtained. Thus the document can be summarized by the most important key word (or phrase) or key words (or phrases) as the topic (or topics) of the document.

Abstract: A system, method, and computer-readable medium for detecting plagiarism in a set of constructed responses by accessing and pre-processing the set of constructed responses to facilitate the pairing and comparing of the constructed responses. The similarity value generated from the comparison of a pair of constructed responses serves as an indicator of possible plagiarism.

Abstract: An approach is provided for template model view generation for home monitor and control interface. A platform receives a model view specified by a user, where the model view includes a floor plan of a premise. The platform generates a template model view based on the received model view by removing identifying information associated with the user. Also, the platform stores the template model view for access by another user, where the template model view is used to capture location information of one or more sensors or one or more actuators within the floor plan.

Abstract: According to an example embodiment, a method comprises executing instructions by a special purpose computing apparatus to, for labeled source domain data having a plurality of original labels, generate a plurality of first predicted labels for the labeled source domain data using a target function, the target function determined by using a plurality of labels from labeled target domain data. The method further comprises executing instructions by the special purpose computing apparatus to apply a label relation function to the first predicted labels for the source domain data and the original labels for the source domain data to determine a plurality of weighting factors for the labeled source domain data.

Abstract: Systems, methods and machine-readable media are disclosed for providing segmented graphical representations of elements, such as songs, videos, pictures, graphics, or address book contacts. In some embodiments, an electronic device may identify remote and/or local elements based on a seed element and may display a segmented graphical representation of the seed element (e.g., a tiled album cover). At least one of the segments may be associated with one or more of the identified elements. In response to receiving a user selection of a segment, the electronic device may perform any of a number of suitable actions based on the associated elements. For example, for remotely stored media elements, the electronic device can retrieve and play a preview of the media elements from a server.

Abstract: An evidence evaluation method and system based on question answering converts a report of analyzed information and/or a model of information into a collection of questions, determines answers for the collection of questions. A fact in the report is marked as being supported if one or more of the answers for the collection of questions support the fact. A fact in the report of analyzed facts is marked as being refuted if one or more of the answers for the collection of questions refute the fact. The method and system also may collect the answers as evidence and add the evidence to the model of information to create an updated model of information. The steps may be repeated using the updated report and updated model.

Abstract: Methods, systems, and computer program products are provided for personalizing web sites. A model based on mining web usage data is accessed. The model defines associations between web sites. Interest associations extracted from web interactions are stored. The interest associations comprise interest indications and web sites associated with the interest indications. An interest indication from the interest associations is selected. The interest indication is associated with an associated web site. The associated web site has an association with a target web site as defined by the model. The interest indication is sent to the target web site.

Abstract: The present invention relates to a method for managing users of a gym facility. The method comprises the steps of: analysing a population of users or possible users of a gym facility by means of statistical tools in order to detect desires of attaining mean term objectives, or “ASPIRATIONS”, of the population being analysed; determining, by means of statistical tools, a limited number of ASPIRATIONS present in the population being analysed; subdividing the population being analysed, by means of statistical tools, into homogeneous groups each belonging to a given ASPIRATION included in a limited number of ASPIRATIONS; and assigning a user to at least one of the homogeneous groups based on responses to a closed-response questionnaire. The invention also relates to a system for managing users of a gym facility and to an information technology product for managing a gym facility and the users of a gym facility.

Abstract: Methods, systems, and computer program products are provided for personalizing web sites. A model based on mining web usage data is accessed. The model defines associations between web sites. Interest associations extracted from web interactions are stored. The interest associations comprise interest indications and web sites associated with the interest indications. An interest indication from the interest associations is selected. The interest indication is associated with an associated web site. The associated web site has an association with a target web site as defined by the model. The interest indication is sent to the target web site.

Abstract: A computationally implemented method includes, but is not limited to: detecting deviation from a compliant execution of a template by an end user, the template designed to facilitate the end user to achieve one or more target outcomes when one or more emulatable aspects included in the template are emulated, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that are relevant to achieving the one or more target outcomes; and executing one or more actions in response to the detecting of the deviation In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: This disclosure relates, in general, to methods, systems, apparatus, computer programs and computing devices related to predicting possible outcomes in a multi-factored disease, disorder or condition.

Abstract: A method of identifying footwear which best fits a customer's feet, includes the steps of digitizing the feet of a customer needing footwear with a 3D foot scanner and generating a numerical 3D model of the customer's feet, comparing, with a computer-based matching engine, the information of the 3D feet model with the content of a database containing numerical 3D models of the interior shoe shape of footwear available to be sold, producing a list of one or more best-fit footwear candidates to the customer and/or to the staff of a footwear shop and concluding the purchasing process or, respectively, aborting it in case of insufficient best fit footwear being found in the footwear stock available for selling.

Abstract: A computationally implemented method includes, but is not limited to: providing a plurality of relevant reported aspects associated with a plurality of source users that are relevant to achieving one or more target outcomes, the providing of the plurality of relevant reported aspects being based, at least in part, on relevancy of the plurality of relevant reported aspects with respect to the one or more target outcomes; and developing a template designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the template are emulated, the development of the template being based, at least in part, on the providing of the plurality of relevant reported aspects associated with the plurality of source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: Improved efficiencies of data mining clustering techniques are provided by preprocessing a sample set of data points taken from a complete data set to provide seeds for centroid calculations of the complete data set. Such seeds are generated by selecting a uniform sample set of data points from a set of multi-dimensional data and then seed values for the cluster determination calculation are determined using a centroid analysis on the sample set of data points. The number of seeds calculated corresponds to a number of data clusters expected in the set of multi-dimensional data points. Seed values are determined using subsample elimination techniques.

Abstract: A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: determining whether a plurality of end users deviated from compliantly executing a template designed to facilitate the plurality of end users in achieving one or more target outcomes when one or more emulatable aspects included in the template are emulated by the plurality of end users, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that were deemed to have been relevant to achieving the one or more target outcomes; and modifying the template based, at least in part, on determining that the plurality of end users deviated from compliantly executing the template In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: An Insightful Dimensional Clustering (IDC) application is disclosed. The insightful dimensional clustering engine may perform various functions, including, performing an iterative process to determine the identity of dimensions that are important to the tag and the identity of the segment of a population having a target behavior, segmenting the population within the data space into clusters, analyzing the resulting clusters for a high tag concentration, and displaying the resulting clusters to name a few. The insightful dimensional clustering engine may be implemented as one or more processes operating on a computer or server, or may be a specially adapted computer or hardware device configured to perform the one or more operations described herein.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for estimating segments from key values for advertising impressions.

Abstract: Even with SIP and the varied communications options available to users, the monitoring of presence itself may not provide sufficient information to determine a most appropriate contact modality for a communication. Therefore, there is a need for a more complete method of generating a landscape of recent activity from which a preferred communication modality can be determined, with a corresponding solution provided that allows a contactor to contact a contactee via that modality. For example, a network of bearer channels or feeds can be established as input to a presence determination module. The inputs can include not only presence information, but also feeds from one or more blogs, micro blogs, social networking sites, etc., that allow a more complete picture of recent activity to be determined. Based on this input a preferred contact modality can be determined that may enhance the ability of a contactor to contact a contactee.