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» Mining Very Large Databases
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DASFAA
2010
IEEE
176views Database» more  DASFAA 2010»
15 years 9 months ago
Mining Diversity on Networks
Abstract. Despite the recent emergence of many large-scale networks in different application domains, an important measure that captures a participant’s diversity in the network ...
Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei H...
128
Voted
JIIS
1998
161views more  JIIS 1998»
15 years 2 months ago
Mining Text Using Keyword Distributions
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Ido Dagan, Haym Hirsh
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
15 years 11 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
129
Voted
SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
15 years 4 months ago
On Privacy-Preservation of Text and Sparse Binary Data with Sketches
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Charu C. Aggarwal, Philip S. Yu
DAWAK
2000
Springer
15 years 7 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese