Introduction to Data Mining, (First Edition)

910 indexed citations

Abstract

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This paper, published in 2005, received 910 indexed citations. Written by Pang‐Ning Tan, Michael Steinbach and Vipin Kumar covering the research area of Information Systems. It is primarily cited by scholars working on Artificial Intelligence (460 citations), Information Systems (341 citations) and Signal Processing (180 citations). Published in Addison-Wesley Longman Publishing Co., Inc. eBooks.

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Countries where authors are citing Introduction to Data Mining, (First Edition)

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Citations

This map shows the geographic impact of Introduction to Data Mining, (First Edition). It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Introduction to Data Mining, (First Edition) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Introduction to Data Mining, (First Edition) more than expected).

Fields of papers citing Introduction to Data Mining, (First Edition)

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Introduction to Data Mining, (First Edition). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Introduction to Data Mining, (First Edition).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w4121340.

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