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174
Voted
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
16 years 23 days ago
An efficient and accurate method for evaluating time series similarity
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Michael D. Morse, Jignesh M. Patel
118
Voted
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 4 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
101
Voted
VLDB
1998
ACM
112views Database» more  VLDB 1998»
15 years 4 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
106
Voted
VRST
2009
ACM
15 years 7 months ago
Indexing and retrieval of human motion data by a hierarchical tree
For the convenient reuse of large-scale 3D motion capture data, browsing and searching methods for the data should be explored. In this paper, an efficient indexing and retrieval...
Shuangyuan Wu, Zhaoqi Wang, Shihong Xia
93
Voted
TIME
1997
IEEE
15 years 4 months ago
On Effective Data Clustering in Bitemporal Databases
Temporal databases provide built-in supports for efficient recording and querying of time-evolving data. In this paper, data clustering issues in temporal database environment are...
Jong Soo Kim, Myoung-Ho Kim