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» CRD: A New Data Mining Method in Deductive Databases
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ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 1 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
SIGMOD
2000
ACM
129views Database» more  SIGMOD 2000»
14 years 1 days ago
Mining Frequent Patterns without Candidate Generation
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous...
Jiawei Han, Jian Pei, Yiwen Yin
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 9 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
14 years 8 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...