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» Approximate data mining in very large relational data
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BMCBI
2007
237views more  BMCBI 2007»
15 years 1 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
DAWAK
2005
Springer
15 years 7 months ago
Efficient Compression of Text Attributes of Data Warehouse Dimensions
This paper proposes the compression of data in Relational Database Management Systems (RDBMS) using existing text compression algorithms. Although the technique proposed is general...
Jorge Vieira, Jorge Bernardino, Henrique Madeira
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 6 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
99
Voted
SIGKDD
2002
81views more  SIGKDD 2002»
15 years 1 months ago
P-tree Classification of Yeast Gene Deletion Data
Genomics data has many properties that make it different from "typical" relational data. The presence of multi-valued attributes as well as the large number of null valu...
Amal Perera, Anne Denton, Pratap Kotala, William J...
VLDB
2010
ACM
144views Database» more  VLDB 2010»
15 years 3 days ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou