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» Defining the Goals to Optimise Data Mining Performance
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GIS
2007
ACM
14 years 8 months ago
Using fuzzy clustering methods for delineating urban housing submarkets
This study investigates whether a fuzzy clustering method is of any practical value in delineating urban housing submarkets relative to clustering methods based on classic (or cri...
Sungsoon Hwang, Jean-Claude Thill
ECAI
2004
Springer
14 years 1 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
FUZZIEEE
2007
IEEE
14 years 2 months ago
Applying Fuzzy Logic for Decision-making on Wireless Sensor Networks
— We propose a fuzzy-based decision-making mechanism for selecting data dissemination protocols in wireless sensor networks (WSNs). Its goal is to select the most efficient proto...
Luci Pirmez, Flávia Coimbra Delicato, Paulo...
DILS
2005
Springer
14 years 1 months ago
PLATCOM: Current Status and Plan for the Next Stages
We have been developing a system for comparing multiple genomes, PLATCOM, where users can choose genomes of their choice freely and perform analysis of the selected genomes with a...
Kwangmin Choi, Jeong-Hyeon Choi, Amit Saple, Zhipi...
PVLDB
2010
93views more  PVLDB 2010»
13 years 6 months ago
Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation
The goal of a threshold query is to detect all objects whose score exceeds a given threshold. This type of query is used in many settings, such as data mining, event triggering, a...
Guy Sagy, Daniel Keren, Izchak Sharfman, Assaf Sch...