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  Browse All Reviews > Information Systems (H) > Database Management (H.2) > Database Applications (H.2.8) > Data Mining (H.2.8...)  
  1-10 of 294 Reviews about "Data Mining (H.2.8...)": Date Reviewed
  Survey on mining subjective data on the web
Tsytsarau M., Palpanas T. Data Mining and Knowledge Discovery 24(3): 478-514, 2012.  Type: Article

When accessing information on the web, users not only consume the information but also comment on and actively annotate the content, which then generates new content and can also provide ratings. People express themselves on the web through blogs,...

Nov 16 2022
  Process mining in action: principles, use cases and outlook
Reinkemeyer L., Springer International Publishing, New York, NY, 2020. 229 pp.  Type: Book (978-3-030401-71-9)

Process mining in action is an edited collection of papers on process mining. The papers are divided into three parts. The book should interest academics, executives, and professionals with an interest in the topic....

Oct 13 2021
   High-utility pattern mining: theory, algorithms and applications
Fournier-Viger P., Lin J., Nkambou R., Vo B., Tseng V., Springer International Publishing, New York, NY, 2019. 337 pp.  Type: Book (978-3-030049-20-1)

Finding frequently occurring patterns of transactions in transactional databases, such as products that customers often purchase together, can be extremely useful in identifying bestselling products and co-promoting products. However, ...

Jun 24 2021
  Evolutionary decision trees in large-scale data mining
Kretowski M., Springer International Publishing, New York, NY, 2019. 180 pp.  Type: Book (978-3-030218-50-8)

Decision trees are valuable counterparts to neural networks in data mining--the book confirms this statement. Evolutionary decision trees in large-scale data mining is a didactic introduction to, and overview of, the al...

Feb 15 2021
  Descriptive data mining (2nd ed.)
Olson D., Lauhoff G., Springer International Publishing, New York, NY, 2019. 130 pp.  Type: Book

Data mining when applied in a business context aims to improve decision making and strategic advantages by providing a better understanding of customers, suppliers, employees, and other stakeholders. The algorithms behind data mining m...

Nov 2 2020
   Fundamentals of image data mining: analysis, features, classification and retrieval
Zhang D., Springer International Publishing, New York, NY, 2019. 314 pp.  Type: Book (978-3-030179-88-5)

Data mining is “the science of extracting useful knowledge from huge data repositories” [1]. Extending this definition, it can be concluded that image data mining is the science of extracting valuable knowledge from...

Sep 21 2020
  Expert deduction rules in data mining with association rules: a case study
Rauch J. Knowledge and Information Systems 59(1): 167-195, 2019.  Type: Article

The author uses logical calculus to create and prove deduction and expert deduction rules in this paper that deals with concepts and material about the analysis of domains and data mining....

Aug 11 2020
  An effective and versatile distance measure for spatiotemporal trajectories
Naderivesal S., Kulik L., Bailey J. Data Mining and Knowledge Discovery 33(3): 577-606, 2019.  Type: Article

With the increasing accumulation of spatial temporal path data, such as in the truck and cab datasets considered here, the need for effective path comparison algorithms is of current importance. This paper develops a measure employing ...

Jan 9 2020
  Code Mining
Holzmann G. IEEE Software 36(2): 25-29, 2019.  Type: Article

Can machine learning techniques be applied to software analysis to find bugs? That is, show a machine learning system examples of good and bad programs for training and then ask it to classify new code. The article begins with this que...

Nov 12 2019
  Data mining and market intelligence: implications for decision making
Akinkunmi M., Morgan&Claypool Publishers, San Rafael, CA, 2018. 181 pp.  Type: Book (978-1-681733-20-3)

With the huge amounts of data created, data analytics can help with decision making. This brief book is a good resource on market intelligence, with practical examples. It explains data analytics for market intelligence based on statis...

Nov 7 2019
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