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» Introduction to Data Mining and Knowledge Discovery
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DAWAK
1999
Springer
15 years 2 months ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
DEXAW
2004
IEEE
131views Database» more  DEXAW 2004»
15 years 1 months ago
Personalised E-Learning Opportunities - Call for a Pedagogical Domain Knowledge Model
A considerable amount of e-learning content is being delivered via virtual or managed learning environments. These platforms keep track of learners' activities including cont...
Alex G. Büchner, David W. Patterson
CMG
2001
14 years 11 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
ESWA
2002
151views more  ESWA 2002»
14 years 9 months ago
Stock market trading rule discovery using technical charting heuristics
In this case study in knowledge engineering and data mining, we implement a recognizer for two variations of the `bull
William Leigh, Naval Modani, Russell L. Purvis, To...
DIS
2001
Springer
15 years 2 months ago
Computational Discovery of Communicable Knowledge: Symposium Report
Abstract. The Symposium on Computational Discovery of Communicable Knowledge was held from March 24 to 25, 2001, at Stanford University. Fifteen speakers reviewed recent advances i...
Saso Dzeroski, Pat Langley