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85
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ICDE
2007
IEEE
104views Database» more  ICDE 2007»
15 years 6 months ago
Filtering Frequent Spatial Patterns with Qualitative Spatial Reasoning
In frequent geographic pattern mining a large amount of patterns can be non-novel and non-interesting. This problem has been addressed recently, and background knowledge is used t...
Vania Bogorny, Bart Moelans, Luis Otávio Al...
PREMI
2007
Springer
15 years 6 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
IFSA
2007
Springer
133views Fuzzy Logic» more  IFSA 2007»
15 years 6 months ago
Fuzzy Tree Mining: Go Soft on Your Nodes
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
Federico Del Razo López, Anne Laurent, Pasc...
104
Voted
CMG
2001
15 years 1 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
KDD
1995
ACM
128views Data Mining» more  KDD 1995»
15 years 4 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj