Wright State University

Other

Lucent Technologies Inc.

Kent Ridge Digital Labs

Guozhu Dong

Richard Baxter Hull

Bharat Kumar

Gang Zhou

Hardik H Lagad

Jianwen Su

Eric Simon

Francois Llirbat

Jinyan Li

Xiuzhen Zhang

Limsoon Wong

A system and method for a comparative web search engines, search result summarization, web snippet processing, comparison analysis, information visualization, meta-clustering, and quantitative evaluation of web snippet quality are disclosed. The present application extends the capabilities of web searching and informational retrieval by providing a succinct comparative summary of search results at either the object or thematic levels.

Comparative web search system

A system and method for a comparative web search engines, search result summarization, web snippet processing, comparison analysis, information visualization, meta-clustering, and quantitative evaluation of web snippet quality are disclosed. The present invention extends the capabilities of web searching and informational retrieval by providing a succinct comparative summary of search results at either the object or thematic levels.

Comparative web search system and method

Emerging patterns (EPs) are itemsets having supports that change significantly from one dataset to another. A classifier, CAEP, is disclosed using the following main ideas based on EPs: (i) Each EP can sharply differentiate the class membership of a (possibly small) fraction of instances containing the EP, due to the big difference between the EP's supports in the opposing classes; the differentiating power of the EP is defined in terms of the EP's supports and ratio, on instances containing the EP. (ii) For each instance t, by aggregating ( ) the differentiating power of a fixed, automatically selected set of EPs, a score is obtained for each class ( ). The scores for all classes are normalized ( ) and the largest score determines t's class ( ). CAEP is suitable for many applications, even those with large volumes of high dimensional data. CAEP does not depend on dimension reduction on data and is usually equally accurate on all classes even if their populations are unbalanced.

Method and apparatus for classification of data by aggregating emerging patterns

An object-focused workflow system for processing a received object in accordance with a declarative workflow specification. The specification includes modules and attributes, where module execution results in the evaluation of attributes, and may include the initiation of a side-effect action performed by an external component. Whether modules are to be executed for a particular received object is determined by associated enabling conditions. Attributes may be evaluated in accordance with computation rules and a combining policy, where the computation rules specify how values are to be contributed to an attribute, and the combining policy indicates how those contributed values are combined in order to assign a value to the attribute. Tasks in the workflow system may be executed eagerly in order to improve the performance of the workflow system. The eager evaluation of tasks includes the determination of whether such tasks are eligible for eager evaluation, and whether the tasks are unneeded or necessary for the processing of the received event. Workflows which satisfy described design properties allow for improved algorithms for the determination of the whether tasks are eligible, eager, and/or necessary. A graphical user interface is provided for displaying a representation of the evaluation status of the modules and attributes during workflow execution.

Data item evaluation based on the combination of multiple factors

Declarative workflow system supporting side-effects

Growing community of inventors

Beavercreek, OH, United States of America

Guozhu Dong