Abstract: Methods and arrangements for monitoring and flagging distinct flows in an evolving network. There is identified a locality comprising at least two nodes in a graph of nodes and edges, wherein the edges represent interactions between nodes. At least one target source-destination node pair is identified in the locality for monitoring, and at least one monitoring rule is generated. An interaction is flagged upon a detected violation of at least one monitoring rule, and there is updated, in response to the detected rule violation, at least one of: the identified locality; the at least one target source-destination pair; and the at least one monitoring rule.

Abstract: The disclosed embodiments illustrate method and system of processing data by a computing device for training a target domain classifier. The method includes extracting one or more first features and one or more second features from a first target instance, associated with a target domain. The method further includes predicting a first label for the received first target instance based on the one or more first features by utilizing a trained first classifier associated with a set of labeled source instances, wherein the predicted first label is assigned to the first target instance when a first score of the predicted first label exceeds a first pre-specified threshold. Further, the method includes updating a set of labeled target instances associated with the target domain based on the labeled first target instance, wherein the updated set of labeled target instances is utilized to train the target domain classifier.

Abstract: Methods, systems, and computer program products for generating probabilistic annotations for entities and relations using reasoning and corpus-level evidence are provided herein. A method includes determining candidate entities and candidate relationships between entities from text contained within textual documents associated with a given domain; generating questions to support or refute legitimacy of a given one of the candidate entities and/or a given one of the candidate relationships; automatically determining an answer to each of the questions based on analysis of one or more additional items of knowledge pertaining to the given domain; computing a confidence score for each answer; and assigning a confidence value in support of the legitimacy of the given one of the candidate entities and/or the given one of the candidate relationships, wherein said confidence value is based on an aggregation of the confidence scores for the answers to the one or more questions.

Abstract: A method and a system for response evaluation of users from electronic documents are disclosed. In an embodiment, one or more questions and a first response pertaining to each of the one or more questions are extracted from one or more first electronic documents. Further, a second response pertaining to each of the one or more extracted questions and metadata are extracted from one or more second electronic documents. For the second response pertaining to each of the one or more extracted questions, a score is determined based on one or more similarity measures that correspond to a category of each of the one or more extracted questions. Thereafter, the response evaluation is rendered on a user interface displayed on a display screen. The response evaluation comprises at least the determined score for the second response pertaining to each of the one or more extracted questions.

Abstract: Provided are techniques for creating an inverted index for features of a set of data elements, wherein each of the data elements is represented by a vector of features, wherein the inverted index, when queried with a feature, outputs one or more data elements containing the feature. The features of the set of data elements are ranked. For each feature in the ranked list, the inverted index is queried for data elements having the feature and not having any previously selected feature and a cluster of the data elements is created based on results returned in response to the query.

Abstract: A method to provide automatic curriculum design includes building a model of benefit of each of a plurality of curriculum models under uncertainty as a function of an expected benefit of each of the curriculum models, building a model of risk of each of the curriculum models under uncertainty as a function of the expected benefit of each of the curriculum models, calculating risk of each of the plurality of curriculum models with the models of risk, calculating benefit of each of the plurality of curriculum models with the models of benefit; and finding a curriculum model among the plurality of curriculum models using the benefit and the risk.

Abstract: A method and a system for response evaluation of users from electronic documents are disclosed. In an embodiment, one or more questions and a first response pertaining to each of the one or more questions are extracted from one or more first electronic documents. Further, a second response pertaining to each of the one or more extracted questions and metadata are extracted from one or more second electronic documents. For the second response pertaining to each of the one or more extracted questions, a score is determined based on one or more similarity measures that correspond to a category of each of the one or more extracted questions. Thereafter, the response evaluation is rendered on a user interface displayed on a display screen. The response evaluation comprises at least the determined score for the second response pertaining to each of the one or more extracted questions.

Abstract: The disclosed embodiments illustrate method and system of processing data by a computing device for training a target domain classifier. The method includes extracting one or more first features and one or more second features from a first target instance, associated with a target domain. The method further includes predicting a first label for the received first target instance based on the one or more first features by utilizing a trained first classifier associated with a set of labeled source instances, wherein the predicted first label is assigned to the first target instance when a first score of the predicted first label exceeds a first pre-specified threshold. Further, the method includes updating a set of labeled target instances associated with the target domain based on the labeled first target instance, wherein the updated set of labeled target instances is utilized to train the target domain classifier.

Abstract: Methods and arrangements for automatically finding the dependency of a software product on other software products or components. From an install image or directory, a signature is found by deriving the same from a directory structure of the software. Further, a directory tree structure is built and an approximate sub-tree matching algorithm is applied to find commonalities across software products.

Abstract: Methods and arrangements for automatically finding the dependency of a software product on other software products or components. From an install image or directory, a signature is found by deriving the same from a directory structure of the software. Further, a directory tree structure is built and an approximate sub-tree matching algorithm is applied to find commonalties across software products.

Abstract: Methods, systems, and computer program products for generating probabilistic annotations for entities and relations using reasoning and corpus-level evidence are provided herein. A method includes determining candidate entities and candidate relationships between entities from text contained within textual documents associated with a given domain; generating questions to support or refute legitimacy of a given one of the candidate entities and/or a given one of the candidate relationships; automatically determining an answer to each of the questions based on analysis of one or more additional items of knowledge pertaining to the given domain; computing a confidence score for each answer; and assigning a confidence value in support of the legitimacy of the given one of the candidate entities and/or the given one of the candidate relationships, wherein said confidence value is based on an aggregation of the confidence scores for the answers to the one or more questions.

Abstract: Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user.

Abstract: Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user.

Abstract: Techniques, systems, and articles of manufacture for determining related data points from multi-modal inputs. A method includes collecting multiple items of multi-modal data comprising at least one dimension from multiple data sources, wherein said at least one dimension comprises a geographic dimension, a temporal dimension and/or an event-related dimension, determining a window of relevance for each of the multiple items of multi-modal data with respect to the at least one dimension, and identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to the at least one dimension.

Abstract: Methods, systems, and computer program products for determining groups of individuals based on multiple items of individual transaction data are provided herein. A method includes initializing a customer segment value for each of multiple purchased items identified in a purchase record based on one or more historical purchasing patterns; updating the customer segment value for each of the multiple purchased items based on the customer segment values for the other purchased items identified in the purchase record; and determining a customer segment composition of a group of individuals associated with the multiple purchased items identified in the purchase record based on the updated customer segment values.

Abstract: Techniques for retrieval of one or more relevant multi-attribute structured objects with respect to a query are provided. The techniques include receiving a query, grouping one or more attributes of one or more objects in a database into one or more groups according to how each bears a relation to the query, and using the one or more attribute groups to produce an output of one or more relevant multi-attribute structured objects in response to the query.

Abstract: Embodiments of the invention provide retailers with the ability to employ concept-based marketing using only a few representative examples. Embodiments of the invention take seed examples, utilize the seed examples to provide an expanded list (that can be edited as desired) representative of the concept, and map the expanded list to a final set of customers to be included in a targeted marketing operation.

Abstract: A method, a system and a computer program product for analyzing customer service quality is disclosed. A plurality of customer call service quality parameters is identified using historical data. The plurality of customer call service quality parameters is quantified and correlated. The customer service quality is analyzed using the plurality of customer call service quality parameters. A repository is generated using the historical data of a plurality of customer calls and a set of pre-defined customer call flow templates. A subset of service quality queries is identified using contextual information of the customer call from the repository of service quality queries. The subset of service quality queries is then interspersed in the customer call. The customer service quality is analyzed using responses to the subset of service quality queries.

Abstract: A method, system and software for using customer community analytics for: (i) discovering relationships (for example, financial transactional relationships) between customers and other entities (such as companies); (ii) representing the customers, other entities and their relationships in the form of a machine readable graph; and (iii) using the graph to perform graph-based functions. These functions may include: up-selling, cross-selling, making personalized recommendations, discovering a financial products supply chain and/or facilitating social interactions between and among customers and other entities.

Abstract: Techniques, systems, and articles of manufacture for determining related data points from multi-modal inputs. A method includes collecting multiple items of multi-modal data comprising at least one dimension from multiple data sources, wherein said at least one dimension comprises a geographic dimension, a temporal dimension and/or an event-related dimension, determining a window of relevance for each of the multiple items of multi-modal data with respect to the at least one dimension, and identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to the at least one dimension.