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» Mining Adaptive Ratio Rules from Distributed Data Sources
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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 13 days ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
ICMCS
2005
IEEE
135views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Retrieving, Adapting and Delivering Multimedia Content Using a Mobile Agent Architecture
An integrated, reconfigurable, adaptable and open system for mining, indexing and retrieving multimedia information based on a mobile agent technology scheme is presented. The sys...
Nikolaos Papadakis, Anastasios D. Doulamis, Dimitr...
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 3 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
VLDB
2005
ACM
140views Database» more  VLDB 2005»
13 years 11 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
13 years 10 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...