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A Comprehensive Survey on Affinity Analysis, Bibliomining, and Technology Mining

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dc.contributor.author Rahman, Md. Rashadur
dc.contributor.author Arefin, Mohammad Shamsul
dc.contributor.author Rahman, Sanjida
dc.contributor.author Ahmed, Afsana
dc.contributor.author Islam, Tahsina
dc.contributor.author Dhar, Pranab Kumar
dc.contributor.author Kwon, Oh-Jin
dc.date.accessioned 2024-02-22T07:09:33Z
dc.date.available 2024-02-22T07:09:33Z
dc.date.issued 2022-05-21
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11502
dc.description.abstract Recent advancements in high-speed communications and high-capacity computing systems have contributed to major growth in the data volume of databases. Data mining is a crucial part of information retrieval; it is often termed as database knowledge discovery. It consists of techniques for examining massive data sets, to find hidden (but possibly important) information. Three interesting fields in data mining are affinity analysis, bibliomining, and technology mining. Affinity analysis provides data mining techniques to determine the similarity among objects; bibliomining is a combination of data mining, bibliometrics, and data warehousing; technology mining is a research topic that is an obstacle to many scientists in the fields of time association, enterprise association, and computer programming. We present a systematic review of the notable research articles in the fields of affinity analysis, bibliomining, and technology mining published between 2000 and December 2021. We provide a systematic analysis of the selected literature by specifying the major contributions, used data sets, performance evaluations, and limitations. Our findings demonstrate that affinity analysis interoperability extends well beyond market basket analysis. We also demonstrate that, in the age of big data, the personalized needs of users are the driving forces behind the evolution of the digital library from a resource-sharing service to a user-centered service. Finally, this article provides insight into major advances and outstanding challenges in the fields of affinity analysis, bibliomining, and technology mining. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Technology en_US
dc.subject Computer programming en_US
dc.title A Comprehensive Survey on Affinity Analysis, Bibliomining, and Technology Mining en_US
dc.title.alternative Past, Present, and Future Research en_US
dc.type Article en_US


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