000 04522nam a22004935i 4500
001 978-3-540-32394-5
003 DE-He213
005 20161121231022.0
007 cr nn 008mamaa
008 100301s2005 gw | s |||| 0|eng d
020 _a9783540323945
_9978-3-540-32394-5
024 7 _a10.1007/3-540-32394-5
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM031000
_2bisacsh
082 0 4 _a004.0151
_223
245 1 0 _aKnowledge Mining
_h[electronic resource] :
_bProceedings of the NEMIS 2004 Final Conference /
_cedited by Spiros Sirmakessis.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aVIII, 290 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v185
505 0 _aKnowledge Mining: A Quantitative Synthesis of Research Results and Findings -- An Evidential Approach to Classification Combination for Text Categorisation -- Visualization Techniques for Non Symmetrical Relations -- Understanding Text Mining: A Pragmatic Approach -- Novel Approaches to Unsupervised Clustering Through k-Windows Algorithm -- Semiometric Approach, Qualitative Research and Text Mining Techniques for Modelling the Material Culture of Happiness -- Semantic Distances for Sets of Senses and Applications in Word Sense Disambiguation -- A Strategic Roadmap for Text Mining -- Text Mining Applied to Multilingual Corpora -- Content Annotation for the Semantic Web -- An Open Platform for Collecting Domain Specific Web Pages and Extracting Information from Them -- Extraction of the Useful Words from a Decisional Corpus. Contribution of Correspondence Analysis -- Collective SME Approach to Technology Watch and Competitive Intelligence: The Role of Intermediate Centers -- New Challenges and Roles of Metadata in Text/Data Mining in Statistics -- Using Text Mining in Official Statistics -- Combining Text Mining and Information Retrieval Techniques for Enhanced Access to Statistical Data on the Web: A Preliminary Report -- Comparative Study of Text Mining Tools -- Some Industrial Applications of Text Mining -- Using Text Mining Tools for Event Data Analysis -- Terminology Extraction: An Analysis of Linguistic and Statistical Approaches -- Analysis of Biotechnology Patents.
520 _aText mining is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining, machine learning, information retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an effort to help people gain insight, understand and interpret large quantities of (usually) semi-structured and unstructured data. Despite the advances made during the last few years, many issues remain unresolved. 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 scientific research, knowledge mining is principally concerned with the quantitative synthesis and visualization of research results and findings. The book presents results from the application of knowledge mining techniques in various sector of the academic and indystrial research. The results are increased scientific understanding along with improvements in research quality and value. Knowledge mining products can be used to highlight research opportunities, assist with the presentation of "best" scientific evidence, facilitate research portfolio management, as well as, facilitate policy setting and decision making.
650 0 _aComputer science.
650 0 _aComputers.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aComputer Science.
650 2 4 _aTheory of Computation.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
700 1 _aSirmakessis, Spiros.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540250708
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v185
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-32394-5
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507375
_d507375