D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 84 Citations 155,117 361 World Ranking 356 National Ranking 1

Research.com Recognitions

Awards & Achievements

1997 - Fellow of the Royal Society of New Zealand

1996 - ACM Fellow For contributions to the study of how past behavior can expedite future interaction, in particular adaptive data compression, programming by demonstration, and machine learning.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Machine learning

Ian H. Witten mostly deals with Artificial intelligence, Machine learning, Information retrieval, World Wide Web and Data mining. The various areas that Ian H. Witten examines in his Artificial intelligence study include Pattern recognition and Natural language processing. In the field of Machine learning, his study on Active learning and Decision tree learning overlaps with subjects such as Workbench and Generalization.

When carried out as part of a general Active learning research project, his work on Instance-based learning is frequently linked to work in Hyper-heuristic, therefore connecting diverse disciplines of study. His World Wide Web study integrates concerns from other disciplines, such as Text mining, Ontology, Software and Semantics. His studies deal with areas such as Graphical user interface, Set, Rule sets and Data science as well as Data mining.

His most cited work include:

  • Data Mining: Practical Machine Learning Tools and Techniques (18817 citations)
  • The WEKA data mining software: an update (15684 citations)
  • Data mining: practical machine learning tools and techniques with Java implementations (4653 citations)

What are the main themes of his work throughout his whole career to date?

Ian H. Witten focuses on World Wide Web, Artificial intelligence, Information retrieval, Machine learning and Multimedia. His World Wide Web study combines topics from a wide range of disciplines, such as User interface, Software and Interface. His biological study spans a wide range of topics, including Pattern recognition, Data mining, Computer vision and Natural language processing.

His Information retrieval research is multidisciplinary, relying on both Document clustering and Index. Machine learning is represented through his Instance-based learning, Decision tree and Active learning research. His Data compression research is under the purview of Algorithm.

He most often published in these fields:

  • World Wide Web (27.48%)
  • Artificial intelligence (25.58%)
  • Information retrieval (14.59%)

What were the highlights of his more recent work (between 2007-2019)?

  • World Wide Web (27.48%)
  • Artificial intelligence (25.58%)
  • Information retrieval (14.59%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in World Wide Web, Artificial intelligence, Information retrieval, Software and Machine learning. His World Wide Web study combines topics in areas such as User interface, Multimedia, Resource and Interface. The study incorporates disciplines such as Key and Natural language processing in addition to Artificial intelligence.

His studies in Information retrieval integrate themes in fields like Hyperlink, Index and Document clustering. In the subject of general Software, his work in Open source software and Software system is often linked to Workbench, thereby combining diverse domains of study. His research investigates the link between Machine learning and topics such as Data mining that cross with problems in Field.

Between 2007 and 2019, his most popular works were:

  • The WEKA data mining software: an update (15684 citations)
  • Learning to link with wikipedia (1076 citations)
  • An effective, low-cost measure of semantic relatedness obtained from Wikipedia links (636 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Programming language

Ian H. Witten mainly focuses on Artificial intelligence, Information retrieval, World Wide Web, Software and Semantic similarity. Ian H. Witten interconnects IBM PC compatible, Machine learning, Key and Natural language processing in the investigation of issues within Artificial intelligence. His Machine learning research includes elements of Algorithm and Data mining.

Ian H. Witten combines subjects such as Domain, Structure and Cluster analysis with his study of Information retrieval. The concepts of his World Wide Web study are interwoven with issues in Ontology, User interface and Multimedia. His research integrates issues of C4.5 algorithm, DSPACE and Stress testing in his study of Software.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Data mining: practical machine learning tools and techniques with Java implementations

Ian H. Witten;Eibe Frank.
international conference on management of data (2002)

41911 Citations

Data Mining: Practical Machine Learning Tools and Techniques

Ian H. Witten;Eibe Frank;Mark A. Hall.
(1999)

37106 Citations

The WEKA data mining software: an update

Mark Hall;Eibe Frank;Geoffrey Holmes;Bernhard Pfahringer.
Sigkdd Explorations (2009)

21919 Citations

Arithmetic coding for data compression

Ian H. Witten;Radford M. Neal;John G. Cleary.
Communications of The ACM (1987)

3980 Citations

Managing Gigabytes: Compressing and Indexing Documents and Images

I.H. Witten;A. Moffat;T.C. Bell.
(1999)

3843 Citations

Text compression

Timothy C. Bell;John G. Cleary;Ian H. Witten.
(1990)

2157 Citations

Generating Accurate Rule Sets Without Global Optimization

Eibe Frank;Ian H. Witten.
international conference on machine learning (1998)

1580 Citations

Data Compression Using Adaptive Coding and Partial String Matching

J. Cleary;I. Witten.
IEEE Transactions on Communications (1984)

1568 Citations

Learning to link with wikipedia

David Milne;Ian H. Witten.
conference on information and knowledge management (2008)

1438 Citations

Induction of model trees for predicting continuous classes

Yong Wang;Ian H. Witten.
(1996)

1322 Citations

Best Scientists Citing Ian H. Witten

Taghi M. Khoshgoftaar

Taghi M. Khoshgoftaar

Florida Atlantic University

Publications: 151

Björn Schuller

Björn Schuller

Imperial College London

Publications: 142

Alex A. Freitas

Alex A. Freitas

University of Kent

Publications: 121

Gonzalo Navarro

Gonzalo Navarro

University of Chile

Publications: 95

Alistair Moffat

Alistair Moffat

University of Melbourne

Publications: 92

Justin Zobel

Justin Zobel

University of Melbourne

Publications: 88

Mengjie Zhang

Mengjie Zhang

Victoria University of Wellington

Publications: 88

Sebastián Ventura

Sebastián Ventura

University of Córdoba

Publications: 81

Francisco Herrera

Francisco Herrera

University of Granada

Publications: 80

Iryna Gurevych

Iryna Gurevych

University of Paderborn

Publications: 59

Paolo Ferragina

Paolo Ferragina

University of Pisa

Publications: 58

Lior Rokach

Lior Rokach

Ben-Gurion University of the Negev

Publications: 58

Bernhard Pfahringer

Bernhard Pfahringer

University of Waikato

Publications: 56

Yuval Elovici

Yuval Elovici

Ben-Gurion University of the Negev

Publications: 56

Eibe Frank

Eibe Frank

University of Waikato

Publications: 54

Yu-Dong Cai

Yu-Dong Cai

Shanghai University

Publications: 53

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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