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Knowledge Discovery in Inductive Databases : 5th International Workshop, KDID 2006 Berlin, Germany, September 18th, 2006 Revised Selected and Invited Papers / edited by Saso Dzeroski, Jan Struyf.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 4747.
- Information Systems and Applications, incl. Internet/Web, and HCI ; 4747
- Language:
- English
- Subjects (All):
- Data structures (Computer science).
- Database management.
- Artificial intelligence.
- Data Structures and Information Theory.
- Database Management.
- Artificial Intelligence.
- Local Subjects:
- Data Structures and Information Theory.
- Database Management.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (X, 301 pages).
- Edition:
- First edition 2007.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
- System Details:
- text file PDF
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-75549-4
- 9783540755494
- Access Restriction:
- Restricted for use by site license.
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