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» Efficient decision tree construction on streaming data
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CCCG
2008
13 years 9 months ago
Core-Preserving Algorithms
We define a class of algorithms for constructing coresets of (geometric) data sets, and show that algorithms in this class can be dynamized efficiently in the insertiononly (data ...
Hamid Zarrabi-Zadeh
MCS
2009
Springer
14 years 5 days ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown
ICTAI
2007
IEEE
14 years 1 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SIGMOD
2005
ACM
106views Database» more  SIGMOD 2005»
14 years 7 months ago
Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams
Existing energy-efficient approaches to in-network aggregation in sensor networks can be classified into two categories, tree-based and multi-path-based, with each having unique s...
Amit Manjhi, Suman Nath, Phillip B. Gibbons
ICTAI
2010
IEEE
13 years 4 months ago
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments
Abstract--Pocket Data Mining PDM is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data stre...
Frederic T. Stahl, Mohamed Medhat Gaber, Max Brame...