Abstract: Methods and arrangements for identifying a potential customer base of a concern. A contemplated method includes: identifying a prospective customer of a concern, via a social media network; identifying connections of the prospective customer within the social media network; determining a subset of the connections, wherein members of the subset comprise members of the concern; determining connections of the members of the subset; determining whether the connections of the members of the subset comprise the prospective customer; and if the connections of the members of the subset comprise the prospective customer, determining contact information of the prospective customer. Other variants and embodiments are broadly contemplated herein.

Abstract: A method, system and a computer program product for determining resources allocation in a distributed computing environment. An embodiment may include identifying resources in a distributed computing environment, computing provisioning parameters, computing configuration parameters and quantifying service parameters in response to a set of service level agreements (SLA). The embodiment may further include iteratively computing a completion time required for completion of the assigned task and a cost. Embodiments may further include computing an optimal resources configuration and computing at least one of an optimal completion time and an optimal cost corresponding to the optimal resources configuration. Embodiments may further include dynamically modifying the optimal resources configuration in response to at least one change in at least one of provisioning parameters, computing parameters and quantifying service parameters.

Abstract: Techniques, systems, and articles of manufacture for identifying event-specific social discussion threads. A method includes identifying a spatial relationship and one or more additional relationships across two or more topical clusters derived from a text source, extracting one or more temporally evolving discussion sequences across the two or more topical clusters, identifying at least one social discussion thread across the two or more topical clusters by identifying a correlation between the one or more additional relationships and the one or more temporally evolving discussion sequences, and to identifying a geographically-constrained social discussion thread among the at least one identified social discussion thread by identifying a correlation between the spatial relationship across the two or more topical clusters and the at least one identified social discussion thread.

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: According to one embodiment of the present invention, a system controls cleansing of data within a database system, and comprises a computer system including at least one processor. The system receives a data set from the database system, and one or more features of the data set are selected for determining values for one or more characteristics of the selected features. The determined values are applied to a data quality estimation model to determine data quality estimates for the data set. Problematic data within the data set are identified based on the data quality estimates, where the cleansing is adjusted to accommodate the identified problematic data. Embodiments of the present invention further include a method and computer program product for controlling cleansing of data within a database system in substantially the same manner described above.

Abstract: Techniques for enriching a taxonomy using one or more additional taxonomies are provided. The techniques include receiving two or more taxonomies, wherein the two or more taxonomies comprise a destination taxonomy and one or more additional taxonomies, determining one or more relevant portions of the two or more taxonomies by identifying one or more common terms between the two or more taxonomies, importing one or more relevant portions from the one or more additional taxonomies into the destination taxonomy, and using the one or more imported taxonomy portions to enrich the destination taxonomy.

Abstract: Methods, computer program products and systems are provided for mining for sub-patterns within a text data set. The embodiments facilitate finding a set of N frequently occurring sub-patterns within the data set, extracting the N sub-patterns from the data set, and clustering the extracted sub-patterns into K groups, where each extracted sub-pattern is placed within the same group with other extracted sub-patterns based upon a distance value D that determines a degree of similarity between the sub-pattern and every other sub-pattern within the same group.

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: Methods and arrangements for measuring and utilizing media topic influence. A publically disseminated media transmission is received. Public influence of the media transmission is measured via: identifying one or more media sources used to disseminate the media transmission; and obtaining one or more predetermined influence values associated with the one or more media sources.

Abstract: Described herein are methods, systems, apparatuses and products for efficient development of a rule-based system. An aspect provides a method including accessing data records; converting said data records to an intermediate form; utilizing intermediate forms to compute similarity scores for said data records; and selecting as an example to be provided for rule making at least one record of said data records having a maximum dissimilarity score indicative of dissimilarity to already considered examples.

Abstract: Techniques, systems, and articles of manufacture for identifying event-specific social discussion threads. A method includes identifying a spatial relationship and one or more additional relationships across two or more topical clusters derived from a text source, extracting one or more temporally evolving discussion sequences across the two or more topical clusters, identifying at least one social discussion thread across the two or more topical clusters by identifying a correlation between the one or more additional relationships and the one or more temporally evolving discussion sequences, and to identifying a geographically-constrained social discussion thread among the at least one identified social discussion thread by identifying a correlation between the spatial relationship across the two or more topical clusters and the at least one identified social discussion thread.

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 and arrangements for keyword refinement and enhancement. There is received an initial keyword list comprising one or more keywords. Information is harvested from one or more information feeds, and an item is ascertained from the harvested information. One or more keywords from the initial keyword list are associated with the item. One or more new keywords are developed based on the associating of one or more keywords from the initial keyword list with the item. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for gathering and managing crowd-sourced information. An event is identified using crowd-sourced information, and component parts of the event are identified using the crowd-sourced information. Information missing from the event is identified using the crowd-sourced information. Individuals associated with the event are identified, and additional crowd-sourced information on the event is harvested from the individuals.

Abstract: Methods and arrangements for measuring and utilizing media topic influence. A publically disseminated media transmission is received. Public influence of the media transmission is measured via: identifying one or more media sources used to disseminate the media transmission; and obtaining one or more predetermined influence values associated with the one or more media sources.

Abstract: Systems, methods, and computer products for optimally managing large rule sets are disclosed. Rule dependencies of rules within a set of rules may be determined as a function of rules execution frequency data generated from applying the rules over a data set. The rules within the set of rules may be clustered into rules clusters based on the determined rule dependencies, in which the rules clusters comprise disjoint subsets of the rules within the set of rules. Cluster frequency data for the rules clusters may be used to arrive at an optimal ordering. Each rule within the set of rules may be assigned a unique identification that may capture an execution order of the rules within the set of rules.

Abstract: A clustering-based approach to data standardization is provided. Certain embodiments take as input a plurality of addresses, identify one or more features of the addresses, cluster the addresses based on the one or more features, utilize the cluster(s) to provide a data-based context useful in identifying one or more synonyms for elements contained in the address(es), and standardize the address(es) to an acceptable format, with one or more synonyms and/or other elements being added to or taken away from the input address(es) as part of the standardization process.

Abstract: Described herein are methods, systems, apparatuses and products for efficient development of a rule-based system. An aspect provides a method including accessing data records; converting said data records to an intermediate form; utilizing intermediate forms to compute similarity scores for said data records; and selecting as an example to be provided for rule making at least one record of said data records having a maximum dissimilarity score indicative of dissimilarity to already considered examples.

Abstract: Blocking column selection can include determining a first parameter for each column set of a plurality of column sets, wherein the first parameter indicates distribution of blocks in the column set, and determining a second parameter for each column set. The second parameter can indicate block size for the column set. For each column set, a measure of blockability that is dependent upon at least the first parameter and the second parameter can be calculated using a processor. The plurality of column sets can be ranked according to the measures of blockability.

Abstract: A method of blocking column selection can include determining a first parameter for each column set of a plurality of column sets, wherein the first parameter indicates distribution of blocks in the column set, and determining a second parameter for each column set. The second parameter can indicate block size for the column set. For each column set, a measure of blockability that is dependent upon at least the first parameter and the second parameter can be calculated using a processor. The plurality of column sets can be ranked according to the measures of blockability.