Abstract: A cross-architecture flight tracking system helps an individual keep track of the status of an airline flight. A subscriber receives status updates intelligently and in real time based on the individual's accessibility over an instant messaging client. The system facilitates the status updates by maintaining and listing the flight as a contact in the individual's instant messaging client contact list, processing status updates from the airline, and dynamically passing the status updates to the subscriber through a channel that will successfully deliver the message.

Abstract: The present application relates to a computer-implemented method, system, and computer program product for telecommunications rating. The computer-implemented method for telecommunications rating may comprise: receiving an event from a source system for a service, wherein the event is generated by a user; transforming the event into a normalized event by determining event characteristics comprising determining a guiding point identifier to identify a guiding point associated with the user; by using the guiding point identifier, retrieving from the guiding point a list of products operable to guide the normalized event; rating the normalized event by calculating and aggregating costs according to the list of products; and posting the costs by updating at least one balance associated with the user, the guiding point, and/or the service.

Abstract: A churn analysis system helps a business analyze, predict, and reduce customer churn. The system analyzes customer experiences by using an insightful block level approach to correlate customer experience with customer churn. Through the block level approach, the system is able to more accurately predict and effectively reduce future customer churn. As a result, businesses are able to reduce customer acquisition costs and improve customer retention rates.

Abstract: A distribution plan that indicates how to encode and distribute backup data across multiple data centers may be generated. The distribution plan may be generated such that one or more characteristics of the distribution plan, such as costs, are optimized while constraints on the plan, such as protection level, recovery point objective (RPO), and recovery time objective (RTO) are satisfied. The protection level may indicate the number of the data centers that are to remain available such that the backup data is recoverable from encoded fragments of the backup data stored in the data centers that remain available.

Abstract: Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.

Abstract: The COBOL reference architecture (CRA) system and the transactional workflow driver (TWD) provide an efficient and effective way to extend an existing application using modern architecture techniques without rewriting the existing application. The (CRA) system and TWD provide a way to generate new and interchangeable COBOL language functionality for multiple interactive types (e.g., transaction servers and/or transaction managers) running in various computing environments, including: a WebSphere message queue (MQ) transaction server; a Customer Information Control System (CICS) transaction server; an Information Management System (IMS) transaction server; and a batch transaction manager.

Abstract: Privacy is defined in the context of a guessing game based on the so-called guessing inequality. The privacy of a sanitized record, i.e., guessing anonymity, is defined by the number of guesses an attacker needs to correctly guess an original record used to generate a sanitized record. Using this definition, optimization problems are formulated that optimize a second anonymization parameter (privacy or data distortion) given constraints on a first anonymization parameter (data distortion or privacy, respectively). Optimization is performed across a spectrum of possible values for at least one noise parameter within a noise model. Noise is then generated based on the noise parameter value(s) and applied to the data, which may comprise real and/or categorical data. Prior to anonymization, the data may have identifiers suppressed, whereas outlier data values in the noise perturbed data may be likewise modified to further ensure privacy.

Abstract: One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.

Abstract: The present description refers in particular to a computer-implemented method, an embedded system, and a memory. The method relates to extending the functionality of an embedded system, wherein the embedded system includes a firmware in a fixed non-volatile memory. The method comprises attaching an attachable non-volatile memory to the embedded system, wherein an extension is stored in the attachable non-volatile memory; recognizing the extension by the firmware; and executing a service on the embedded system by means of the extension.

Abstract: The present disclosure includes systems and techniques relating to enterprise application integration. In general, one aspect of the subject matter described in this specification can be embodied in a computer system including a service oriented architecture (SOA), where the system includes a composite application configured to present sales targeted information by combining services from multiple application resources on a network, wherein the multiple application resources include: a sales force automation (SFA) tool configured to automate sales and sales force management functions; a real-time predictive analytics tool configured to evaluate customer purchasing data and recommend products or services based on the customer purchasing data; a knowledge management tool configured to search and retrieve data across multiple integrated applications; and a calendar tool configured to manage appointment scheduling.

Abstract: System, methods, and apparatuses are provided for processing incoming data using a plurality of mapper modules and at least one reducer module. Incoming data may be processed to provide mapped data. The mapped data may be processed to provide reduced data. A feedback message may be generated. The feedback message may include data describing a suggestive configuration value to be applied when processing the incoming data.

Abstract: Performance of statistical machine learning techniques, particularly classification techniques applied to the extraction of attributes and values concerning products, is improved by preprocessing a body of text to be analyzed to remove extraneous information. The body of text is split into a plurality of segments. In an embodiment, sentence identification criteria are applied to identify sentences as the plurality of segments. Thereafter, the plurality of segments are clustered to provide a plurality of clusters. One or more of the resulting clusters are then analyzed to identify segments having low relevance to their respective clusters. Such low relevance segments are then removed from their respective clusters and, consequently, from the body of text. As the resulting relevance-filtered body of text no longer includes portions of the body of text containing mostly extraneous information, the reliability of any subsequent statistical machine learning techniques may be improved.

Abstract: In a machine learning system in which a plurality of learned models, each corresponding to a unique domain, already exist, new domain input for training a new domain model may be provided. Statistical characteristics of features in the new domain input are first determined. The resulting new domain statistical characteristics are then compared with statistical characteristics of features in prior input previously provided for training at least some of the plurality of learned models. Thereafter, at least one learned model of the plurality of learned models is identified as the basis for the new domain model when the new domain input statistical characteristics compare favorably with the statistical characteristics of the features in the prior input corresponding to the at least one learned model.

Abstract: In a rule-based system for monitoring process adherence, first and second processing patterns are received and merged to provide a merged processing pattern. Each processing pattern, which may be expressed in a state graph representation, embodies at least a portion of a desired software code development process. Optionally, the merged processing pattern may be presented to a subject-matter expert to obtain feedback thereon. The merged processing pattern may then be converted into an executable process verification rule for use in monitoring process adherence. In an embodiment, development process event data is compared to the executable process verification rules. Violations of the rules result in the generation of failure indications that may be stored and subsequently reported as needed. In this manner, efficiency of automated process adherence monitoring systems may be improved when determining the level of compliance by developers with one or more software code development processes.

Abstract: Integration framework for enterprise content management systems, in which a request related to performing an operation associated with enterprise content management is received from a customer relationship management application. In response to the request, a standard user interface is provided and user input that is entered into the standard user interface and that requests performance of an enterprise content management operation is received. In response to the user input, a particular enterprise content management system to perform the enterprise content management operation is identified from among multiple, different enterprise content management systems and a particular connector component configured to interface with the particular enterprise content management system is selected from among multiple, different connector components.

Abstract: A cloud services monitoring system (CSMS) helps a consumer of cloud computing resources determine the state of the cloud computing resources available to the consumer. The CSMS is particularly effective for cloud models where the consumer of the cloud computing resources is not the same as the provider of the cloud resource. The CSMS 102 also provides mechanisms for adjusting operations actions to preserve service guarantees for the consumer. In that regard, the CSMS dynamically adjusts operations actions in response to the state of the cloud, rather than executing fixed pre-determined operations actions that are not tailored to the monitored conditions.

Abstract: A data lineage tracking system may include a memory storing a module comprising machine readable instructions to obtain trace log entries representing an interaction with, a manipulation of, and/or a creation of a data value. The data lineage tracking system may further include machine readable instructions to select the trace log entries that are associated with commands performed by an application, cluster similar trace log entries from the selected trace log entries, and analyze mappings between the clustered trace log entries to determine data lineage flow associated with the data value.

Abstract: Systems, methods, and computer program products are provided for performing threat assessments. In one exemplary embodiment, the method may include generating one or more patterns of behavior corresponding to a security breach at a first company, and storing the generated one or more patterns in a pattern repository. In addition, the method may include comparing at least one of the one or more patterns with one or more standardized log files for the first company to identify one or more first log entries related to the behavior corresponding to the security breach. The method may also include processing at least one pattern of the one or more patterns with one or more standardized log files for a second company to identify log entries of the second company that indicate a possible security breach at the second company.

Abstract: A system, method and article of manufacture are provided for managing a merger or an acquisition. A plurality of statistics are tracked relating to a merger or an acquisition for reporting purposes. Further, a plurality of decisions are stored relating to the merger or acquisition. Such decisions may be accessed by a plurality of users involved in the merger or acquisition. In addition, a plurality of items associated with the merger or acquisition are inputted into a database. Each item is associated with at least one of the users. The users may be search for the items in the database.

Abstract: An energy facility control system transforms the manner in which energy facilities create, modify, share, and store information during all phases of their lifecycles, from licensing through construction and decommissioning. The energy facility control system provides energy operators and their suppliers with collaborative toolsets to help improve accuracy, reliability and efficiency during every stage of an energy facility's lifecycle.