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020 _a9783540692362
_9978-3-540-69236-2
024 7 _a10.1007/3-540-63223-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
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_223
245 1 0 _aPrinciples of Data Mining and Knowledge Discovery
_h[electronic resource] :
_bFirst European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings /
_cedited by Jan Komorowski, Jan Zytkow.
250 _a1st ed. 1997.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c1997.
300 _aXII, 404 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v1263
505 0 _aKnowledge discovery — A control theory perspective -- Modelling customer retention with Rough Data Models -- Share based measures for itemsets -- Parallel knowledge discovery using domain generalization graphs -- Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems -- Logical calculi for knowledge discovery in databases -- Extraction of experts' decision process from clinical databases using rough set model -- Discovering of health risks and case-based forecasting of epidemics in a health surveillance system -- An algorithm for multi-relational discovery of subgroups -- Finding similar time series -- Exploration of document collections with self-organizing maps: A novel approach to similarity representation -- Pattern based browsing in document collections -- Induction of fuzzy characteristic rules -- Regression-based classification methods and their comparison with decision tree algorithms -- Attribute discovery and rough sets -- Generation of rules from incomplete information systems -- Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement -- Efficient multisplitting on numerical data -- SNOUT: An intelligent assistant for exploratory data analysis -- Exploratory analysis of biochemical processes using hybrid modeling methods -- Using signature files for querying time-series data -- A new and versatile method for association generation -- Bivariate decision trees -- Towards process-oriented tool support for knowledge discovery in databases -- A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection -- Searching for relational patterns in data -- Finding spatial clusters -- Interactive interpretation of hierarchical clustering -- The principle of transformation between efficiency and effectiveness: Towards a fair evaluation of the cost-effectiveness of KDD techniques -- Recognizing reliabilityof discovered knowledge -- Clustering techniques in biological sequence analysis -- TOAS intelligence mining; analysis of natural language processing and computational linguistics -- Algorithms for constructing of decision trees -- Mining in the phrasal frontier -- Mining time series using rough sets — A case study -- Neural networks design: Rough set approach to continuous data -- On meta levels of an organized society of KDD agents -- Using neural network to extract knowledge from database -- Induction of strong feature subsets -- Rough sets for data mining and knowledge discovery -- Techniques and applications of KDD -- A tutorial introduction to high performance data mining -- Data mining in the telecommunications industry.
520 _aThis book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.
650 0 _aArtificial intelligence.
650 0 _aInformation storage and retrieval systems.
650 0 _aMultimedia systems.
650 0 _aComputer science
_xMathematics.
650 0 _aMathematical statistics.
650 0 _aBusiness information services.
650 1 4 _aArtificial Intelligence.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aIT in Business.
700 1 _aKomorowski, Jan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZytkow, Jan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540632238
776 0 8 _iPrinted edition:
_z9783662163917
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v1263
856 4 0 _uhttps://doi.org/10.1007/3-540-63223-9
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