Knowledge Discovery in Inductive Databases 5th International Workshop, KDID 2006 Berlin, Germany, September 18th, 2006 Revised Selected and Invited Papers
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2007, 2007
|
| Edition: | 1st ed. 2007 |
| Series: | Information Systems and Applications, incl. Internet/Web, and HCI
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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