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» OIDM: Online Interactive Data Mining
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ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
13 years 12 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
WAIM
2007
Springer
14 years 1 months ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...
IPPS
2002
IEEE
13 years 12 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
WWW
2009
ACM
14 years 7 months ago
Community gravity: measuring bidirectional effects by trust and rating on online social networks
Several attempts have been made to analyze customer behavior on online E-commerce sites. Some studies particularly emphasize the social networks of customers. Users' reviews ...
Yutaka Matsuo, Hikaru Yamamoto
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 9 months ago
Transparent user models for personalization
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jur...