Abstract: Provided are techniques for providing personalized recommendations. One or more transactions are received from one or more customer interaction channels. The received one or more transactions are stored in an incremental data store. One or more predictive rules are generated based on the received one or more transactions and based on one or more transactions previously stored in the incremental data store. In real-time, one or more personalized recommendations specific to a user and to the received one or more transactions are generated using the one or more generated predictive rules.

Abstract: Methods and arrangements for generating a learning graph. A contemplated method includes: utilizing at least one processor to execute instructions to perform the steps of: receiving a proficiency input relating to a student; receiving a target knowledge node, wherein the target knowledge node represents at least one skill the student does not currently possess; determining at least one skill requirement of the at least one skill; identifying at least one path between the proficiency input and the target knowledge node based upon the at least one determined skill requirement; calculating a gap between the proficiency input and the target knowledge node at the at least one identified path; and recommending at least one learning content module based upon the calculated gap.

Abstract: An approach is provided for creating a new document. Keywords specifying a subject matter of the new document are received. Metadata of documents is determined to match keyword(s) included in the received keywords and the documents are retrieved. Based on a section being created in the new document, a ranked list of the retrieved documents is generated. A selection of a document included in the ranked list is received. The selected document is added to the new document. The keywords are refined based on the added document. Based on the subject matter and the refined keywords, the new document is completed by repeating the steps of determining the metadata, retrieving the documents, generating the ranked list, receiving the selection, and adding the selected document.

Abstract: An approach is provided for creating a new document. Keywords specifying a subject matter of the new document are received. Metadata of documents is determined to match keyword(s) included in the received keywords and the documents are retrieved. Based on a section being created in the new document, a ranked list of the retrieved documents is generated. A selection of a document included in the ranked list is received. The selected document is added to the new document. The new document is determined to be not complete. The keywords are refined based on the added document. Based on the subject matter and the refined keywords, the new document is completed by repeating the steps of determining the metadata, retrieving the documents, generating the ranked list, receiving the selection, and adding the selected document.

Abstract: Methods and arrangements for identifying burden comprehension in multimedia content. A contemplated method includes: accepting multimedia input; detecting components of the multimedia input; determining a comprehension burden score of each of the detected components; and thereupon calculating a total comprehension burden score for the multimedia input. Other variants and embodiments are broadly contemplated herein.

Abstract: An approach is provided for creating a new document. Keywords specifying a subject matter of the new document are received. Metadata of documents is determined to match keyword(s) included in the received keywords and the documents are retrieved. Based on a section being created in the new document, a ranked list of the retrieved documents is generated. A selection of a document included in the ranked list is received. The selected document is added to the new document. The new document is determined to be not complete. The keywords are refined based on the added document. Based on the subject matter and the refined keywords, the new document is completed by repeating the steps of determining the metadata, retrieving the documents, generating the ranked list, receiving the selection, and adding the selected document.

Abstract: A computational device receives a first text message in a text messaging format from a mobile device to access a website that stores information in a markup language format. The computational device converts one or more elements of the stored information from the markup language format to the text messaging format. The computational device sends a second text message that indicates how to interact with the website in the text messaging format to the mobile device.

Abstract: Systems and methods for identifying entities sharing a temporal pattern using bipartite graphs are described. In one embodiment, a method includes identifying a temporal pattern in a sequence of bipartite graphs for a sequence of records involving two entity types, where records of the sequence of bipartite graphs vary according to time. An embodiment may color code the edges between entity types in the sequence of bipartite graphs according to the at least one temporal pattern identified (e.g., increasing sales between a business representative and a customer). An embodiment may therefore identify a time-based relationship between at least two entities according to the coded edges. Given the identification of entities having a time-based relationships, groups of these entities may be identified and trends may be derived therefrom (e.g., increasing sales for business units of a particular geographic region).

Abstract: A workload specification, detailing specific queries and a frequency of execution of each of the queries, and a set of partitions, are obtained for the database, as inputs. A number of candidate tables are identified for the database, the tables having a plurality of attributes. A chosen attribute is allocated for each of the tables, to obtain a set of tables and a set of appropriate partitions for each of the tables.

Abstract: A method (400) is disclosed of extracting factoids from text repositories, with the factoids being associated with a given factoid category. The method (400) starts by training a classifier (230) to recognize factoids relevant to that given factoid category. Documents or document summaries relevant to the given factoid category is next collected (410) from the text repositories. Sentences having a predetermined association to the given factoid category is extracted (420) from the documents or said document summaries. Those sentences are classified (440), in a noisy environment, using the classifier (230) to extract snippets containing phrases relevant to the given factoid category. It is the extracted snippets that are the factoid associated with the given factoid category.

Abstract: An embodiment of the invention provides a method and system for analyzing a plurality of reports. More specifically, a change detection module predicts results of future reports based on past reports and identifies a first report that deviates from its predicted results. A dependency analysis module connected to the change detection module at least one report sharing a dependency with the first report by performing a dependency analysis and/or a usage analysis. The dependency analysis labels the first report and at least one second report as sharing a dependency if the second report deviates from its predicted results. The usage analysis labeling the first report and at least one report analyzed by an analyst as sharing a dependency if the report analyzed by the analyst is analyzed in response to the identification of the first report.

Abstract: A computer receives one or more files having configuration information that includes data that defines a plurality of stages of an extract, transform, and load (ETL) job, wherein the plurality of stages comprise a read stage that is preceded by a write stage, and wherein the read stage reads data from a source location, and wherein the data that is read or a modified version of the data that is read is being written by the write stage that writes data to the source location. The computer replaces the read stage with a decompressor stage. The computer replaces the write stage with a compressor stage. The computer executes the decompressor stage and compressor stage on a field-programmable gate array that is programmatically customized with data compression and data decompression functionality to enhance the performance of the ETL job.

Abstract: A computer receives one or more files having configuration information that includes data that defines a plurality of stages of an extract, transform, and load (ETL) job, wherein the plurality of stages comprise a read stage that is preceded by a write stage, and wherein the read stage reads data from a source location, and wherein the data that is read or a modified version of the data that is read is being written by the write stage that writes data to the source location. The computer replaces the read stage with a decompressor stage. The computer replaces the write stage with a compressor stage. The computer executes the decompressor stage and compressor stage on a field-programmable gate array that is programmatically customized with data compression and data decompression functionality to enhance the performance of the ETL job.

Abstract: An embodiment of the invention provides a method and system for analyzing a plurality of reports. More specifically, a change detection module predicts results of future reports based on past reports and identifies a first report that deviates from its predicted results. A dependency analysis module connected to the change detection module at least one report sharing a dependency with the first report by performing a dependency analysis and/or a usage analysis. The dependency analysis labels the first report and at least one second report as sharing a dependency if the second report deviates from its predicted results. The usage analysis labeling the first report and at least one report analyzed by an analyst as sharing a dependency if the report analyzed by the analyst is analyzed in response to the identification of the first report.

Abstract: A workload specification is obtained for the database. Based on the workload specification, candidate ones of the tables are identified and ranked. Compression impact is evaluated for the candidate ones of the tables. A design for the database is developed, specifying at least one of: (i) which of the tables should be compressed, and (ii) which of the tables should not be compressed.

Abstract: Methods and arrangements for establishing financial transfer limits. A customer reputation score for mobile money transfer is determined. A mobile money transfer limit is established based on the customer reputation score, and the customer reputation score is updated in response to predetermined parameters.

Abstract: Provided are techniques for providing personalized recommendations. One or more transactions are received from one or more customer interaction channels. The received one or more transactions are stored in an incremental data store. One or more predictive rules are generated based on the received one or more transactions and based on one or more transactions previously stored in the incremental data store. In real-time, one or more personalized recommendations specific to a user and to the received one or more transactions are generated using the one or more generated predictive rules.

Abstract: Methods and arrangements for establishing financial transfer limits. A customer reputation score for mobile money transfer is determined. A mobile money transfer limit is established based on the customer reputation score, and the customer reputation score is updated in response to predetermined parameters.

Abstract: Computer software is disclosed for discovering and representing a reporting model of an existing reporting environment. For each report in a plurality of reports, the software searches metadata of the report for descriptive information and dependencies on other reports. The software depicts, in a graphical representation, each report and relationships between the reports.

Abstract: A method, an apparatus and an article of manufacture for detecting a fraudulent mobile money transaction. The method includes determining a reputation score for at least one customer based on historical data, determining multiple patterns related to fraudulent mobile money transaction activities by using the reputation score and the historical data, automatically detecting at least one of the patterns in mobile money transactions incoming from at least one other customer, and classifying the at least one detected pattern as a fraudulent mobile money transaction or a genuine mobile money transaction.