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	Browse All Reviews > Information Systems (H) > Database Management (H.2) > Database Applications (H.2.8)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 415 Reviews about "Database Applications (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   A survey on food computing Min W., Jiang S., Liu L., Rui Y., Jain R. ACM Computing Surveys 52(5): 1-36, 2019.  Type: Article The authors have written an extensive survey of the published literature related to food computing. The survey is about 26 pages long, with an additional ten pages of (about 300) references.... Nov 27 2020    ELSA: a multilingual document summarization algorithm based on frequent itemsets and latent semantic analysis Cagliero L., Garza P., Baralis E. ACM Transactions on Information Systems 37(2): 1-33, 2019.  Type: Article, Reviews: (2 of 2) “You shall know a word by the company it keeps” is perhaps the most famous quotation attributed to J. R. Firth [1]. Searching for ways to automate natural language understanding (NLU), statistical natural language p... Nov 16 2020   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   A real-time framework for task assignment in hyperlocal spatial crowdsourcing Tran L., To H., Fan L., Shahabi C. ACM Transactions on Intelligent Systems and Technology 9(3): 1-26, 2018.  Type: Article Hyperspatial crowdsourcing is a low-cost methodology that uses capable individuals, located in the vicinity of task location, to acquire fine-grain data for spatially distributed tasks. However, it is constrained by the budget. This pa... Sep 9 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       Display 510152550100 per page
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