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PKDD
1998
Springer
15 years 6 months ago
1998
Springer
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
149
Voted
SAC
2011
ACM
14 years 5 months ago
2011
ACM
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
117
Voted
SDM
2009
SIAM
15 years 11 months ago
2009
SIAM
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
113
Voted
VLDB
2005
ACM
15 years 8 months ago
2005
ACM
Many database applications have the emerging need to support fuzzy queries that ask for strings that are similar to a given string, such as “name similar to smith” and “tele...
114
Voted
KDD
2002
ACM
16 years 3 months ago
2002
ACM
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...