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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
15 years 10 months ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
15 years 10 months ago
Indexing multi-dimensional time-series with support for multiple distance measures
Although most time-series data mining research has concentrated on providing solutions for a single distance function, in this work we motivate the need for a single index structu...
Michail Vlachos, Marios Hadjieleftheriou, Dimitrio...
CHI
2005
ACM
15 years 10 months ago
Studying the effectiveness of MOVE: a contextually optimized in-vehicle navigation system
In-vehicle navigation has changed substantially in recent years, due to the advent of computer generated maps and directions. However, these maps are still problematic, due to a m...
Joonhwan Lee, Jodi Forlizzi, Scott E. Hudson
HPCA
2008
IEEE
15 years 10 months ago
System level analysis of fast, per-core DVFS using on-chip switching regulators
Portable, embedded systems place ever-increasing demands on high-performance, low-power microprocessor design. Dynamic voltage and frequency scaling (DVFS) is a well-known techniq...
Wonyoung Kim, Meeta Sharma Gupta, Gu-Yeon Wei, Dav...
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