Structured Information Management: Processing and Retrieval

We work with developing new techniques for the management of data stored in very large information banks across platforms

Focusing on high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization by following the way of indexing documents and classifying their subjects before determining the ownership

Stringmatching algorithms are basic components used in implementations of practical softwares existing under most operating systems.

Topics include information storage and retrieval, file inversion techniques, modelling the user, automatic indexing, language analysis, subject classification, and machine learning.

But these technological advancements also create a new set of challenges – particularly around data’s explosive growth. According to many sources, the size of the digital universe will double every two years.

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