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» Mining Frequency Pattern from Mobile Users
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WWW
2001
ACM
16 years 4 months ago
IEPAD: information extraction based on pattern discovery
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
Chia-Hui Chang, Shao-Chen Lui
IFIP12
2007
15 years 5 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 8 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
VTC
2008
IEEE
15 years 10 months ago
Application of the TDD Underlay Concept to Home NodeB Scenario
—This paper presents a spectrum sharing approach which exploits the clustered distribution of users as would be expected in a typical home with several communicating devices (als...
Zubin Bharucha, Harald Haas
PERCOM
2007
ACM
16 years 3 months ago
Using Digital Cameras for Text Input on Mobile Devices
This paper presents novel text input methods for mobile devices. In particular, it shows how users can capture text from books, newspapers, and other objects by using the digital ...
Frank Siegemund, Muhammad Haroon