000 06100nam a22006375i 4500
001 978-3-540-69520-2
003 DE-He213
005 20170515111448.0
007 cr nn 008mamaa
008 121227s1997 gw | s |||| 0|eng d
020 _a9783540695202
_9978-3-540-69520-2
024 7 _a10.1007/BFb0052824
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
245 1 0 _aAdvances in Intelligent Data Analysis Reasoning about Data
_h[electronic resource] :
_bSecond International Symposium, IDA-97 London, UK, August 4–6, 1997 Proceedings /
_cedited by Xiaohui Liu, Paul Cohen, Michael Berthold.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c1997.
300 _aXIII, 627 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 Computer Science,
_x0302-9743 ;
_v1280
505 0 _aIntelligent data analysis: Issues and opportunities -- Decomposition of heterogeneous classification problems -- Managing dialogue in a statistical expert assistant with a cluster-based user model -- How to find big-oh in your data set (and how not to) -- Data classification using a W.I.S.E. toolbox -- Mill's methods for complete Intelligent Data Analysis -- Integrating many techniques for discovering structure in data -- Meta-Reasoning for Data Analysis Tool Allocation -- Navigation for data analysis systems -- An annotated data collection system to support intelligent analysis of Intensive Care Unit data -- A combined approach to uncertain data analysis -- A connectionist approach to the distance-based analysis of relational data -- Efficient GA based techniques for automating the design of classification models -- Data representations and machine learning techniques -- Development of a knowledge-driven constructive induction mechanism -- Oblique linear tree -- Feature selection for neural networks through functional links found by evolutionary computation -- Building simple models: A case study with decision trees -- Exploiting symbolic learning in visual inspection -- Forming categories in exploratory data analysis and data mining -- A systematic description of greedy optimisation algorithms for cost sensitive generalisation -- Dissimilarity measure for collections of objects and values -- ECG segmentation using time-warping -- Interpreting longitudinal data through temporal abstractions: An application to diabetic patients monitoring -- Intelligent support for multidimensional data analysis in environmental epidemiology -- Network performance assessment for Neurofuzzy data modelling -- A genetic approach to fuzzy clustering with a validity measure fitness function -- The analysis of artificial neural network data models -- Simulation data analysis using Fuzzy Graphs -- Mathematical analysis of fuzzy classifiers -- Neuro-fuzzy diagnosis system with a rated diagnosis reliability and visual data analysis -- Genetic Fuzzy Clustering by means of discovering membership functions -- A strategy for increasing the efficiency of rule discovery in data mining -- Intelligent text analysis for dynamically maintaining and updating domain knowledge bases -- Knowledge discovery in endgame databases -- Parallel induction algorithms for data mining -- Data analysis for query processing -- Datum discovery -- A connectionist approach to extracting knowledge from databases -- A modulated Parzen-windows approach for probability density estimation -- Improvement on estimating quantites in finite population using indirect methods of estimation -- Robustness of clustering under outliers -- The BANG-clustering system: Grid-based data analysis -- Techniques for dealing with missing values in classification -- The use of exogenous knowledge to learn Bayesian Networks from incomplete databases -- Reasoning about outliers by modelling noisy data -- Reasoning about sensor data for automated system identification -- Modelling discrete event sequences as state transition diagrams -- Detecting and describing patterns in time-varying data using wavelets -- Diagnosis of tank ballast systems -- Qualitative uncertainty models from random set theory.
520 _aThis book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.
650 0 _aComputer science.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval.
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 0 _aComplexity, Computational.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aPattern Recognition.
650 2 4 _aComplexity.
650 2 4 _aIT in Business.
700 1 _aLiu, Xiaohui.
_eeditor.
700 1 _aCohen, Paul.
_eeditor.
700 1 _aBerthold, Michael.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540633464
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v1280
856 4 0 _uhttp://dx.doi.org/10.1007/BFb0052824
912 _aZDB-2-SCS
912 _aZDB-2-LNC
912 _aZDB-2-BAE
942 _2ddc
_cEB
950 _aComputer Science (Springer-11645)
999 _c14349
_d14349