Latha Sankar Colby - Sunnyvale CA, US Sangeeta T. Doraiswamy - San Jose CA, US Jun Rao - San Jose CA, US Hetal Thakkar - Wilmington CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30
US Classification:
707713, 707690, 707719, 707769
Abstract:
A method and system for cleansing anomalies from sequence-based data at query time. Sequence-based data such as RFID data is loaded into a database. One or more cleansing rules are received at a cleansing rules engine. The cleansing rule engine converts the cleansing rule(s) to a template that includes logic to compensate for anomalies in the sequence-based data. A query to retrieve the sequence-based data is received by a query rewrite engine. The query rewrite engine rewrites the query by applying the template logic. The rewritten query is executed at query time. The result of the rewritten query execution is identical to the result of executing the original query on a data set generated by applying the cleansing rule to all of the sequence-based data.
Processing Archive Content Based On Hierarchical Classification Levels
Karen W. Brannon - Palo Alto CA, US Wenling Cai - San Jose CA, US Sangeeta T. Doraiswamy - San Jose CA, US Ryan John Minniear - Folsom CA, US David A. Pease - Redwood Estates CA, US Mark Andrew Smith - Los Gatos CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00
US Classification:
707673
Abstract:
Processing archive content based on hierarchical classification levels is performed by indexing a first newly archived file of a current set of archive content at a first classification level defining a plurality of types of metadata to be derived, wherein the first classification level is selected from a hierarchy of classification levels having at least two classification levels, indexing a second newly archived file of the current set of archive content at a second classification level, wherein the second classification level includes fewer types of metadata than the first class of metadata, and flagging the second newly archived file of the current set of archive content. By classifying and flagging the second newly archived file differently than the first newly archived file, the system can easily retrieve such data at a later instance to update and/or change the data, re-index the data, and the like.
Processing Archive Content Based On Hierarchical Classification Levels
Karen W. Brannon - Palo Alto CA, US Wenling Cai - San Jose CA, US Sangeeta T. Doraiswamy - San Jose CA, US Ryan John Minniear - Folsom CA, US David A. Pease - Redwood Estates CA, US Mark Andrew Smith - Los Gatos CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00
US Classification:
707673
Abstract:
Processing archive content based on hierarchical classification levels is performed by indexing a first newly archived file of a current set of archive content at a first classification level defining a plurality of types of metadata to be derived, wherein the first classification level is selected from a hierarchy of classification levels having at least two classification levels, indexing a second newly archived file of the current set of archive content at a second classification level, wherein the second classification level includes fewer types of metadata than the first class of metadata, and flagging the second newly archived file of the current set of archive content. By classifying and flagging the second newly archived file differently than the first newly archived file, the system can easily retrieve such data at a later instance to update and/or change the data, re-index the data, and the like.
Systems And Methods For Automated Extraction Of Measurement Information In Medical Videos
Arnon Amir - Saratoga CA, US David James Beymer - San Jose CA, US Karen W. Brannon - Palo Alto CA, US Sangeeta T. Doraiswamy - San Jose CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06K 9/00
US Classification:
382128, 128922, 378 4
Abstract:
Systems and methods providing automated extraction of information contained in video data and uses thereof are described. In particular, systems and associated methods are described that provide techniques for extracting data embedded in video, for example measurement-value pairs of medical videos, for use in a variety of applications, for example video indexing, searching and decision support applications.
Method And System For Cleansing Sequence-Based Data At Query Time
Latha Sankar Colby - Sunnyvale CA, US Sangeeta T. Doraiswamy - San Jose CA, US Jun Rao - San Jose CA, US Hetal Thakkar - Wilmington CA, US
International Classification:
G06F 17/30
US Classification:
707 4, 707E17062
Abstract:
A method and system for cleansing anomalies from sequence-based data at query time. Sequence-based data such as RFID data is loaded into a database. One or more cleansing rules are received at a cleansing rules engine. The cleansing rule engine converts the cleansing rule(s) to a template that includes logic to compensate for anomalies in the sequence-based data. A query to retrieve the sequence-based data is received by a query rewrite engine. The query rewrite engine rewrites the query by applying the template logic. The rewritten query is executed at query time. The result of the rewritten query execution is identical to the result of executing the original query on a data set generated by applying the cleansing rule to all of the sequence-based data.
Systems And Methods For Automated Extraction Of Measurement Information In Medical Videos
Arnon Amir - Saratoga CA, US David James Beymer - San Jose CA, US Karen W. Brannon - Palo Alto CA, US Sangeeta T. Doraiswamy - San Jose CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06K 9/18
US Classification:
382182
Abstract:
Systems and methods providing automated extraction of information contained in video data and uses thereof are described. In particular, systems and associated methods are described that provide techniques for extracting data embedded in video, for example measurement-value pairs of medical videos, for use in a variety of applications, for example video indexing, searching and decision support applications.
Policy-Based Computer File Management Based On Content-Based Analytics
Karen W. Brannon - San Jose CA, US Sangeeta T. Doraiswamy - San Jose CA, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 17/30
US Classification:
707822, 707E1701
Abstract:
Embodiments of this disclosure managing storage of files, stored in a computer storage system having policy-based file storage management, using information derived from content of the files. Embodiments execute content analytics logic module(s) on a primary file stored in a base storage system, creating one or more Features derived from the primary file content. Based on the Feature(s), embodiments automatically determine an electronic storage policy for the primary file and, in certain embodiments, also for the Feature(s). The Features, and accordingly the storage policy, can be updated particularly readily in exemplary embodiments having pluggable content analytics logic modules. This may be occur in light of, for example, new content analytics algorithms (e.g., new image analysis algorithms), new external factors (e.g., new rules governing certain content), and/or new storage equipment (e.g., new storage farms for which it may be more useful or cost effective to store certain types of data).