Knowledge Mining

Name: Knowledge Mining
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642425394
Price: 52.78 EUR
Availability: InStock

Proceedings of the NEMIS 2004 Final Conference

Автор: Spiros Sirmakessis

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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Text mining is an exciting application ?eld and an area of scienti?c - search that is currently unde...

Информация за книгата

Автор

Spiros Sirmakessis

Език

Английски език

Корици

Книга - С меки корици

Издадена

2014

страници

290

EAN

9783642425394

ISBN

9783642425394

Enbook ID

09119185

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

474

Размери

155 x 16 x 17

Пълно описание

Text mining is an exciting application ?eld and an area of scienti?c - search that is currently under rapid development. It uses techniques from well-established scienti?c ?elds (e. g. data mining, machine learning, infor- tion retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an e?ort to help people gain insight, und- stand and interpret large quantities of (usually) semi-structured and unstr- tured data. Despite the advances made during the last few years, many issues remain unresolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identi?ed, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the ?eld of Text Mining especially in relation to IT and whether there still remain areas to be covered. Knowledge Mining draws upon many of the key concepts of knowledge management, data mining and knowledge discovery, meta-analysis and data visualization. Within the context of scienti?c research, knowledge mining is principally concerned with the quantitative synthesis and visualization of - search results and ?ndings. The results of knowledge mining are increased scienti?c understanding along with improvements in research quality and value. Knowledge mining products can be used to highlight research opportunities, assist with the p- sentation of best scienti?c evidence, facilitate research portfolio mana- ment, as well as, facilitate policy setting and decision making.

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Knowledge Mining

Proceedings of the NEMIS 2004 Final Conference

Информация за книгата

Пълно описание

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