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Interactive Graphics for Data Mining

2002
Today information analyses require investigation of very large raw data sets and the study of relationships between numerous and different kinds of variables. Data Mining techniques have been developed for large data sets, but they produce very many results and these can be difficult to interpret.
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Data Mining from Clinical Data using Interactive Evolutionary Computation

2003
Interactive evolutionary computation (IEC) is a subjective and interactive method to evaluate the qualities of offspring generated by genetic operations. Data mining, an interdisciplinary research area including artificial intelligence, statistics and databases, is a series of semi-automated processes to extract explicit useful knowledge from given ...
Takao Terano, Masanori Inada
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Guiding Knowledge Discovery Through Interactive Data Mining

2011
Knowledge discovery is the process of eliciting interesting knowledge from data repositories. Due to the inability of computers to understand abstract concepts, present mining algorithms do not adequately constrain the generation of rules to those that are of interest to the user. Interactive mining techniques aim to alleviate this problem by involving
Roddick, John Francis   +2 more
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Privacy preserving data mining with unidirectional interaction

2005 IEEE International Symposium on Circuits and Systems, 2005
Privacy concerns over the ever-increasing gathering of personal information by various institutions led to the development of privacy preserving data mining. Two main approaches to privacy preserving data mining have emerged in recent years. The first approach protects the privacy of the data by perturbing the data through a random process.
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Mining Protein-Protein Interaction Data

Current Bioinformatics, 2006
Ryan Haasl, Jianwen Fang
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Biological Data Mining in Protein Interaction Networks

2009
Methods for detecting protein-protein interactions (PPIs) have given researchers a global picture of protein interactions on a genomic scale. Biological Data Mining in Protein Interaction Networks explains bioinformatic methods for predicting PPIs, as well as data mining methods to mine or analyze various protein interaction networks.
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An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

Interactive mining of high utility patterns over data streams

Expert Systems With Applications, 2012
Chowdhury Farhan Ahmed, Ho-Jin Choi
exaly  

Single-pass incremental and interactive mining for weighted frequent patterns

Expert Systems With Applications, 2012
Chowdhury Farhan Ahmed   +2 more
exaly  

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