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MICAI
2004
Springer
14 years 1 months ago
Faster Proximity Searching in Metric Data
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
Edgar Chávez, Karina Figueroa
JCST
2008
121views more  JCST 2008»
13 years 8 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
14 years 2 months ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 8 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 3 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer