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» Methods for Linking and Mining Massive Heterogeneous Databas...
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ADC
2004
Springer
107views Database» more  ADC 2004»
14 years 4 months ago
Challenges in Enterprise Search
Concerted research effort since the nineteen fifties has lead to effective methods for retrieval of relevant documents from homogeneous collections of text, such as r archives,...
David Hawking
TKDE
1998
111views more  TKDE 1998»
13 years 10 months ago
Efficient Data Mining for Path Traversal Patterns
—In this paper, we explore a new data mining capability that involves mining path traversal patterns in a distributed information-providing environment where documents or objects...
Ming-Syan Chen, Jong Soo Park, Philip S. Yu
SIGMOD
2007
ACM
169views Database» more  SIGMOD 2007»
14 years 11 months ago
Genome-scale disk-based suffix tree indexing
With the exponential growth of biological sequence databases, it has become critical to develop effective techniques for storing, querying, and analyzing these massive data. Suffi...
Benjarath Phoophakdee, Mohammed J. Zaki
CIKM
2009
Springer
14 years 5 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 4 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...