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KDD
1994
ACM
96views Data Mining» more  KDD 1994»
15 years 10 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
CICLING
2007
Springer
15 years 10 months ago
Rule-Based Protein Term Identification with Help from Automatic Species Tagging
In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...
Xinglong Wang
WEBDB
2010
Springer
238views Database» more  WEBDB 2010»
15 years 10 months ago
An Agglomerative Query Model for Discovery in Linked Data: Semantics and Approach
Data on the Web is increasingly being used for discovery and exploratory tasks. Unlike traditional fact-finding tasks that require only the typical single-query and response parad...
Sidan Gao, Haizhou Fu, Kemafor Anyanwu
DEXA
2009
Springer
88views Database» more  DEXA 2009»
15 years 10 months ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
ICICS
2007
Springer
15 years 10 months ago
Time and Space Efficient Algorithms for Two-Party Authenticated Data Structures
Authentication is increasingly relevant to data management. Data is being outsourced to untrusted servers and clients want to securely update and query their data. For example, in ...
Charalampos Papamanthou, Roberto Tamassia