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234
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ISMIS
2011
Springer
14 years 4 months ago
Data Access Paths in Processing of Sets of Frequent Itemset Queries
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
Piotr Jedrzejczak, Marek Wojciechowski
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 2 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
187
Voted
SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
16 years 2 months ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...
120
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JIIS
2006
147views more  JIIS 2006»
15 years 1 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
AI
2005
Springer
15 years 7 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton