Knowledge discovery in inductive databases [electronic resource] : 5th international workshop, KDID 2006, Berlin, Germany, September 18, 2006 : revised, selected and invited papers / Sašo Džeroski, Jan Struyf (eds.)
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| Online Access: |
Full Text (via Springer) |
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| Corporate Author: | |
| Other Authors: | , |
| Other title: | KDID 2006. |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2007.
|
| Series: | Lecture notes in computer science ;
4747. LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI. |
| Subjects: |
Table of Contents:
- Invited Talk
- Value, Cost, and Sharing: Open Issues in Constrained Clustering
- Contributed Papers
- Mining Bi-sets in Numerical Data
- Extending the Soft Constraint Based Mining Paradigm
- On Interactive Pattern Mining from Relational Databases
- Analysis of Time Series Data with Predictive Clustering Trees
- Integrating Decision Tree Learning into Inductive Databases
- Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets
- An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results
- Beam Search Induction and Similarity Constraints for Predictive Clustering Trees
- Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs
- Extracting Trees of Quantitative Serial Episodes
- IQL: A Proposal for an Inductive Query Language
- Mining Correct Properties in Incomplete Databases
- Efficient Mining Under Rich Constraints Derived from Various Datasets
- Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth
- Discussion Paper
- Towards a General Framework for Data Mining.