Principles of Data Mining and Knowledge Discovery : Second European Symposium, PKDD'98, Nantes, France, September 23-26, 1998, Proceedings / edited by Jan M. Zytkow, Mohamed Quafafou.

Format:

Book

Contributor:

Żytkow, Jan M., editor.

Quafafou, Mohamed, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 1510.

Lecture Notes in Artificial Intelligence ; 1510

Language:

English

Subjects (All):

Data structures (Computer science).

Artificial intelligence.

Information storage and retrieval.

Application software.

Information technology.

Business--Data processing.

Business.

Data Structures and Information Theory.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

IT in Business.

Local Subjects:

Data Structures and Information Theory.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

IT in Business.

Physical Description:

1 online resource (XII, 484 pages).

Edition:

First edition 1998.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.

System Details:

text file PDF

Summary:

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.

Contents:

On objective measures of rule surprisingness

Discovery of surprising exception rules based on intensity of implication

A metric for selection of the most promising rules

For visualization-based analysis tools in knowledge discovery process: A multilayer perceptron versus principal components analysis: A comparative study

Trend graphs: Visualizing the evolution of concept relationships in large document collections

Ranked rules and data visualization

TextVis: An integrated visual environment for text mining

Text mining at the term level

A new algorithm for faster mining of generalized association rules

Knowledge discovery with clustering based on rules. Interpreting results

Efficient construction of comprehensible hierarchical clusterings

Cost sensitive discretization of numeric attributes

Handling KDD process changes by incremental replanning

Object mining: A practical application of data mining for the construction and maintenance of software components

A relational data mining tool based on genetic programming

Inducing cost-sensitive trees via instance weighting

Model switching for bayesian classification trees with soft splits

Interactive visualisation for predictive modelling with decision tree induction

Discovery of diagnostic patterns from protein sequence databases

The PSP approach for mining sequential patterns

Knowledge discovery in spatial data by means of ILP

Querying inductive databases: A case study on the MINE RULE operator

Classes of four-fold table quantifiers

Detection of interdependences in attribute selection

Postponing the evaluation of attributes with a high number of boundary points

A hybrid approach to feature selection

Discretization and grouping: Preprocessing steps for data mining

Fuzzy spatial OQL for fuzzy knowledge discovery in databases

Extended functional dependencies as a basis for linguistic summaries

A comparison of batch and incremental supervised learning algorithms

Knowledge Discovery with qualitative influences and synergies

Language support for temporal data mining

Resampling in an indefinite database to approximate functional dependencies

Knowledge discovery from client-server databases

Discovery of common subsequences in cognitive evoked potentials

Improving the discovery of association rules with intensity of implication

Generalization lattices

Overcoming fragmentation in decision trees through attribute value grouping

Data mining at a major bank: Lessons from a large marketing application

PolyAnalyst data analysis technique and its specialization for processing data organized as a set of attribute values

Representative association rules and minimum condition maximum consequence association rules

Discovery of decision rules from databases: An evolutionary approach

Using loglinear clustering for subcategorization identification

Exploratory attributes search for time-series data: An experimental system for agricultural application

A procedure to compute prototypes for data mining in non-structured domains

From the data mine to the knowledge mill: Applying the principles of lexical analysis to the data mining and knowledge discovery process

Preprocessing of missing values using robust association rules

Similarity-driven sampling for data mining

Modeling the business process by mining multiple databases

Data transformation and rough sets

Conceptual Knowledge Discovery in Databases using formal concept analysis methods

Clasitex+: A tool for knowledge discovery from texts

Discovery of approximate medical knowledge based on rough set model

Scalable, high-performance data mining with parallel processing

Practical text mining

Industrial applications of data mining.

Other Format:

Printed edition:

ISBN:

978-3-540-49687-8

9783540496878

Access Restriction:

Restricted for use by site license.