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SISAP
2008
IEEE
166views Data Mining» more  SISAP 2008»
15 years 4 months ago
Approximate Similarity Search in Genomic Sequence Databases Using Landmark-Guided Embedding
Similarity search in sequence databases is of paramount importance in bioinformatics research. As the size of the genomic databases increases, similarity search of proteins in the...
Ahmet Sacan, Ismail Hakki Toroslu
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
15 years 2 months ago
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification
Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Comm...
Milos Kovacevic, Michelangelo Diligenti, Marco Gor...
IDA
2011
Springer
14 years 4 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
15 years 9 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
JIIS
1998
161views more  JIIS 1998»
14 years 9 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