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» Explorative Data Mining on Stock Data - Experimental Results...
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KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 9 months ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
ESWA
2008
101views more  ESWA 2008»
13 years 9 months ago
Discovering during-temporal patterns (DTPs) in large temporal databases
Abstract Large temporal Databases (TDBs) usually contain a wealth of data about temporal events. Aimed at discovering temporal patterns with during relationship (during-temporal pa...
Li Zhang, Guoqing Chen, Tom Brijs, Xing Zhang
CIKM
2009
Springer
14 years 3 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
PODS
2003
ACM
113views Database» more  PODS 2003»
14 years 9 months ago
Materializing views with minimal size to answer queries
In this paper we study the following problem. Given a database and a set of queries, we want to find, in advance, a set of views that can compute the answers to the queries, such ...
Rada Chirkova, Chen Li
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 1 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...