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CIKM
2009
Springer
16 years 1 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
SAC
2003
ACM
16 years 2 days ago
Broadcast Program Generation for Unordered Queries with Data Replication
We study in this paper the problem of broadcasting dependent data for unordered queries. However, most prior studies on dependent data broadcasting are limited to the premise of n...
Jiun-Long Huang, Ming-Syan Chen
ICTAI
2002
IEEE
15 years 11 months ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...
VISUALIZATION
2002
IEEE
15 years 11 months ago
Interactive Rendering of Large Volume Data Sets
We present a new algorithm for rendering very large volume data sets at interactive framerates on standard PC hardware. The algorithm accepts scalar data sampled on a regular grid...
Stefan Guthe, Michael Wand, Julius Gonser, Wolfgan...
WMCSA
1999
IEEE
15 years 11 months ago
Broadcast of Consistent Data to Read-Only Transactions from Mobile Clients
In this paper, we study the inconsistency problem in data broadcast. While data items in a mobile computing system are being broadcast, update transactions may install new values ...
Kam-yiu Lam, Mei-Wau Au, Edward Chan