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KDD

Overview page. Subjects: Computing.

Abbrev. for knowledge discovery in databases. See data mining.

See overview in Oxford Index

KDD

Overview page. Subjects: Computing.

Abbrev. for knowledge discovery in databases. See data mining.

See overview in Oxford Index

KDD

Burt Vance.

in A Dictionary of Abbreviations

P ublished online January 2011 .

Reference Entry. 5 words.

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KDD

Burt Vance.

in A Dictionary of Abbreviations

P ublished online January 2011 .

Reference Entry. 5 words.

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KDD

Edited by Andrew Butterfield, Gerard Ekembe Ngondi and Anne Kerr.

in A Dictionary of Computer Science

January 2016; p ublished online January 2016 .

Reference Entry. Subjects: Computing. 10 words.

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KDD

John Daintith and Edmund Wright.

in A Dictionary of Computing

January 2008; p ublished online January 2008 .

Reference Entry. Subjects: Computing. 10 words.

Abbrev. for knowledge discovery in databases. See data mining.

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Evaluation of text data mining for database curation: lessons learned from the KDD Challenge Cup

Alexander S. Yeh, Lynette Hirschman and Alexander A. Morgan.

in Bioinformatics

July 2003; p ublished online July 2003 .

Journal Article. Subjects: Bioinformatics and Computational Biology. 0 words.

Motivation: The biological literature is a major repository of knowledge. Many biological databases draw much of their content from a careful curation of this literature. However, as the...

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KDD [Airport Code]

Burt Vance.

in A Dictionary of Abbreviations

P ublished online January 2011 .

Reference Entry. 6 words.

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1700OGenomic profiling of 114,200 advanced cancers identifies recurrent kinase domain duplications (KDD) and oncogenic rearrangements (RE) across diverse tumor types

L.M. Gay, D. Pavlick, J. Chung, S. Ramkissoon, S. Daniel, J.A. Elvin, E. Severson, T. Bivona, K.L. Reckamp, S.J. Klempner, S-H.I. Ou, A.B. Schrock, V.A. Miller, P.J. Stephens, J.S. Ross, S. Ganesan, C. Lovly, A. Mansfield and S.M. Ali.

in Annals of Oncology

September 2017; p ublished online September 2017 .

Journal Article. Subjects: Medical Oncology. 397 words.

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Feature selection and transduction for prediction of molecular bioactivity for drug design

Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff and Bernhard Schölkopf.

in Bioinformatics

April 2003; p ublished online April 2003 .

Journal Article. Subjects: Bioinformatics and Computational Biology. 0 words.

Motivation: In drug discovery a key task is to identify characteristics that separate active (binding) compounds from inactive (non-binding) ones. An automated prediction system can help...

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Integrating image data into biomedical text categorization

Hagit Shatkay, Nawei Chen and Dorothea Blostein.

in Bioinformatics

July 2006; p ublished online July 2006 .

Journal Article. Subjects: Bioinformatics and Computational Biology. 0 words.

Categorization of biomedical articles is a central task for supporting various curation efforts. It can also form the basis for effective biomedical text mining. Automatic text...

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Multi-Measure Multi-Weight Ranking Approach for the Identification of the Network Features for the Detection of DoS and Probe Attacks

Sangeeta Bhattacharya and S. Selvakumar.

in The Computer Journal

June 2016; p ublished online June 2016 .

Journal Article. Subjects: Computer Science. 11813 words.

Efficient detection of network attacks necessitates the identification of important features, capable of characterizing the attacks. Most of the feature selection techniques are based...

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An Ensemble Method based on Selection Using Bat Algorithm for Intrusion Detection

Yanping Shen, Kangfeng Zheng, Chunhua Wu, Mingwu Zhang, Xinxin Niu and Yixian Yang.

Edited by Steven Furnell.

in The Computer Journal

April 2018; p ublished online October 2017 .

Journal Article. Subjects: Computer Science. 7198 words.

Abstract

Machine learning plays an important role in constructing intrusion detection models. However, the information era is an era of data. With the...

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Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users

Hagit Shatkay, Fengxia Pan, Andrey Rzhetsky and W. John Wilbur.

in Bioinformatics

September 2008; p ublished online August 2008 .

Journal Article. Subjects: Bioinformatics and Computational Biology. 6506 words.

Motivation: Much current research in biomedical text mining is concerned with serving biologists by extracting certain information from scientific text. We note that there is...

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