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» Mining Very Large Databases
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FIMI
2003
120views Data Mining» more  FIMI 2003»
15 years 4 months ago
MAFIA: A Performance Study of Mining Maximal Frequent Itemsets
We present a performance study of the MAFIA algorithm for mining maximal frequent itemsets from a transactional database. In a thorough experimental analysis, we isolate the effec...
Douglas Burdick, Manuel Calimlim, Jason Flannick, ...
103
Voted
EPIA
2003
Springer
15 years 7 months ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
161
Voted
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
15 years 12 days ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski
138
Voted
BMCBI
2005
143views more  BMCBI 2005»
15 years 2 months ago
Evaluation of BioCreAtIvE assessment of task 2
Background: Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to functional descriptions is generally extr...
Christian Blaschke, Eduardo Andrés Le&oacut...
129
Voted
DEXAW
2007
IEEE
141views Database» more  DEXAW 2007»
15 years 9 months ago
SWARD: Semantic Web Abridged Relational Databases
The semantic web represents meta-data as a relation of triples using the RDF data model. We have developed a virtual repository system that enables to process queries to RDF views...
Johan Petrini, Tore Risch