This book constitutes the refereed proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '98, held in Nantes, France, in September 1998.
The volume presents 26 revised papers corresponding to the oral presentations given at the conference; also included are refereed papers corresponding to the 30 poster presentations. These papers were selected from a total of 73 full draft submissions. The papers are organized in topical sections on rule evaluation, visualization, association rules and text mining, KDD process and software, tree construction, sequential and spatial data mining, and attribute selection.
Author(s): Alex A. Freitas (auth.), Jan M. Żytkow, Mohamed Quafafou (eds.)
Series: Lecture Notes in Computer Science 1510 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1998
Language: English
Pages: 484
Tags: Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Information Systems Applications (incl.Internet); Business Information Systems
On objective measures of rule surprisingness....Pages 1-9
Discovery of surprising exception rules based on intensity of implication....Pages 10-18
A metric for selection of the most promising rules....Pages 19-27
For visualization-based analysis tools in knowledge discovery process: A multilayer perceptron versus principal components analysis: A comparative study....Pages 28-37
Trend graphs: Visualizing the evolution of concept relationships in large document collections....Pages 38-46
Ranked rules and data visualization....Pages 47-55
TextVis: An integrated visual environment for text mining....Pages 56-64
Text mining at the term level....Pages 65-73
A new algorithm for faster mining of generalized association rules....Pages 74-82
Knowledge discovery with clustering based on rules. Interpreting results....Pages 83-92
Efficient construction of comprehensible hierarchical clusterings....Pages 93-101
Cost sensitive discretization of numeric attributes....Pages 102-110
Handling KDD process changes by incremental replanning....Pages 111-120
Object mining: A practical application of data mining for the construction and maintenance of software components....Pages 121-129
A relational data mining tool based on genetic programming....Pages 130-138
Inducing cost-sensitive trees via instance weighting....Pages 139-147
Model switching for bayesian classification trees with soft splits....Pages 148-157
Interactive visualisation for predictive modelling with decision tree induction....Pages 158-166
Discovery of diagnostic patterns from protein sequence databases....Pages 167-175
The PSP approach for mining sequential patterns....Pages 176-184
Knowledge discovery in spatial data by means of ILP....Pages 185-193
Querying inductive databases: A case study on the MINE RULE operator....Pages 194-202
Classes of four-fold table quantifiers....Pages 203-211
Detection of interdependences in attribute selection....Pages 212-220
Postponing the evaluation of attributes with a high number of boundary points....Pages 221-229
A hybrid approach to feature selection....Pages 230-238
Discretization and grouping: Preprocessing steps for data mining....Pages 239-245
Fuzzy spatial OQL for fuzzy knowledge discovery in databases....Pages 246-254
Extended functional dependencies as a basis for linguistic summaries....Pages 255-263
A comparison of batch and incremental supervised learning algorithms....Pages 264-272
Knowledge Discovery with qualitative influences and synergies....Pages 273-281
Language support for temporal data mining....Pages 282-290
Resampling in an indefinite database to approximate functional dependencies....Pages 291-299
Knowledge discovery from client-server databases....Pages 300-308
Discovery of common subsequences in cognitive evoked potentials....Pages 309-317
Improving the discovery of association rules with intensity of implication....Pages 318-327
Generalization lattices....Pages 328-336
Overcoming fragmentation in decision trees through attribute value grouping....Pages 337-344
Data mining at a major bank: Lessons from a large marketing application....Pages 345-351
PolyAnalyst data analysis technique and its specialization for processing data organized as a set of attribute values....Pages 352-360
Representative association rules and minimum condition maximum consequence association rules....Pages 361-369
Discovery of decision rules from databases: An evolutionary approach....Pages 370-378
Using loglinear clustering for subcategorization identification....Pages 379-387
Exploratory attributes search for time-series data: An experimental system for agricultural application....Pages 388-395
A procedure to compute prototypes for data mining in non-structured domains....Pages 396-404
From the data mine to the knowledge mill: Applying the principles of lexical analysis to the data mining and knowledge discovery process....Pages 405-413
Preprocessing of missing values using robust association rules....Pages 414-422
Similarity-driven sampling for data mining....Pages 423-431
Modeling the business process by mining multiple databases....Pages 432-440
Data transformation and rough sets....Pages 441-449
Conceptual Knowledge Discovery in Databases using formal concept analysis methods....Pages 450-458
Clasitex + : A tool for knowledge discovery from texts....Pages 459-467
Discovery of approximate medical knowledge based on rough set model....Pages 468-476
Scalable, high-performance data mining with parallel processing....Pages 477-477
Practical text mining....Pages 478-478
Industrial applications of data mining....Pages 479-480
