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» Architectural Support for Data Mining
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ECLIPSE
2006
ACM
16 years 3 days ago
FrUiT: IDE support for framework understanding
Frameworks provide means to reuse existing design and functionality, but first require developers to understand how to use them. Learning the correct usage of a framework can be ...
Marcel Bruch, Thorsten Schäfer, Mira Mezini
KDD
1997
ACM
92views Data Mining» more  KDD 1997»
15 years 10 months ago
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
John M. Aronis, Foster J. Provost
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
16 years 13 days ago
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
EDBT
2010
ACM
170views Database» more  EDBT 2010»
15 years 9 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
159
Voted
WIS
2004
15 years 7 months ago
A Wireless Data Stream Mining Model
The sensor networks, web click stream and astronomical applications generate a continuous flow of data streams. Most likely data streams are generated in a wireless environment. Th...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...