Research and Development in Knowledge Discovery and Data Mining Second Pacific-Asia Conference, PAKDD'98, Melbourne, Australia, April 15-17, 1998, Proceedings /

This book constitutes the refereed proceedings of the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD-98, held in Melbourne, Australia, in April 1998. The book presents 30 revised full papers selected from a total of 110 submissions; also included are 20 poster presentat...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Wu, Xindong (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kotagiri, Ramamohanarao (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Korb, Kevin B. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
Έκδοση:1st ed. 1998.
Σειρά:Lecture Notes in Artificial Intelligence ; 1394
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Knowledge acquisition for goal prediction in a multi-user adventure game
  • Hybrid data mining systems: The next generation
  • Discovering case knowledge using data mining
  • Discovery of association rules over ordinal data: A new and faster algorithm and its application to basket analysis
  • Effect of data skewness in parallel mining of association rules
  • Trend directed learning: A case study
  • Interestingness of discovered association rules in terms of neighborhood-based unexpectedness
  • Point estimation using the Kullback-Leibler loss function and MML
  • Single factor analysis in MML mixture modelling
  • Discovering associations in spatial data - An efficient medoid based approach
  • Data mining using dynamically constructed recurrent fuzzy neural networks
  • CCAIIA: Clustering categorical attributes into interesting association rules
  • Selective materialization: An efficient method for spatial data cube construction
  • Mining market basket data using share measures and characterized itemsets
  • Automatic visualization method for visual data mining
  • Rough-set inspired approach to knowledge discovery in business databases
  • Representative association rules
  • Identifying relevant databases for multidatabase mining
  • Minimum message length segmentation
  • Bayesian classification trees with overlapping leaves applied to credit-scoring
  • Contextual text representation for unsupervised knowledge discovery in texts
  • Treatment of missing values for association rules
  • Mining regression rules and regression trees
  • Mining algorithms for sequential patterns in parallel : Hash based approach
  • Wavelet transform in similarity paradigm
  • Improved rule discovery performance on uncertainty
  • Feature mining and mapping of collinear data
  • Knowledge discovery in discretionary legal domains
  • Scaling up the rule generation of C4.5
  • Data mining based on the generalization distribution table and rough sets
  • Constructing personalized information agents
  • Towards real time discovery from distributed information sources
  • Constructing conceptual scales in formal concept analysis
  • The hunter and the hunted - Modelling the relationship between web pages and search engines
  • An efficient global discretization method
  • Learning user preferences on the WEB
  • Using rough sets for knowledge discovery in the development of a decision support system for issuing smog alerts
  • Empirical results on data dimensionality reduction using the divided self-organizing map
  • Mining association rules with linguistic cloud models
  • A data mining approach for query refinement
  • CFMD: A conflict-free multivariate discretization algorithm
  • Characteristic rule induction algorithm for data mining
  • Data-mining massive time series astronomical data sets - A case study
  • Multiple databases, partial reasoning, and knowledge discovery
  • Design recovery with data mining techniques
  • The CLARET algorithm
  • LRTree: A hybrid technique for classifying myocardial infarction data containing unknown attribute values
  • Modelling decision tables from data
  • A classification and relationship extraction scheme for relational databases based on fuzzy logic
  • Mining association rules for estimation and prediction
  • Rule generalization by condition combination.