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  Browse All Reviews > Information Systems (H) > Database Management (H.2) > Database Applications (H.2.8) > Data Mining (H.2.8...)  
 
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  1-10 of 543 Reviews about "Data Mining (H.2.8...)": Date Reviewed
  User preference learning for online social recommendation
Zhao Z., Lu H., Cai D., He X., Zhuang Y.  IEEE Transactions on Knowledge and Data Engineering 28(9): 2522-2534, 2016. Type: Article

Social recommendation models are attaining more and more attention and relevance in the fast-growing world of social media and social relations. Matrix factorization-based methods and probabilistic model-based methods are used in current social re...

Apr 23 2018
  Mining top-k high-utility itemsets from a data stream under sliding window model
Dawar S., Sharma V., Goyal V.  Applied Intelligence 47(4): 1240-1255, 2017. Type: Article

Nowadays most areas of commerce, science, or business generate data in such copious ways that they just cannot be organized in traditional databases anymore; instead, they must literally be mined out of their heterogeneous sources--which is c...

Apr 19 2018
  Fast and accurate time-series clustering
Paparrizos J., Gravano L.  ACM Transactions on Database Systems 42(2): 1-49, 2017. Type: Article

Clustering temporal data, namely time series, is a challenging and expensive computational task in terms of accuracy and speed. Despite the fact that a wide variety of time-series clustering algorithms exist in the literature, they remain unsatisf...

Apr 16 2018
  Health informatics data analysis: methods and examples
Xu D., Wang M., Zhou F., Cai Y.,  Springer International Publishing, New York, NY, 2017. 210 pp. Type: Book (978-3-319449-79-1)

The increasing availability of health-related datasets and the advances in processing capabilities and technology related to data management and the big data spectrum have led to great interest in analyzing biomedical and e-health data. This book ...

Apr 11 2018
  Learning k for kNN classification
Zhang S., Li X., Zong M., Zhu X., Cheng D.  ACM Transactions on Intelligent Systems and Technology 8(3): 1-19, 2017. Type: Article

This paper aims to improve the performance of the k-nearest neighbors (kNN) approach and its variants in three data mining applications--classification, regression, and missing data imputation--by pr...

Mar 27 2018
  Internet of Things and big data analytics toward next-generation intelligence
Dey N., Hassanien A., Bhatt C., Ashour A., Satapathy S.,  Springer International Publishing, New York, NY, 2017. 549 pp. Type: Book (978-3-319604-34-3)

The Internet of Things (IoT) began as a technological concept to bring computing power to inanimate objects, so that these--so-called dumb--objects could become smart objects instead, and so they could communicate with us and we with the...

Feb 26 2018
  Data science: a comprehensive overview
Cao L.  ACM Computing Surveys 50(3): 1-42, 2017. Type: Article, Reviews: (2 of 2)

I’ve been reviewing computing literature for almost two decades, have submitted over 100 reviews, and the survey format used by this paper is very common. However, at 42 pages, this is the largest survey I ever remember reading. Given how mu...

Feb 26 2018
  Emerging technology and architecture for big-data analytics
Chattopadhyay A., Chang C., Yu H.,  Springer International Publishing, New York, NY, 2017. 330 pp. Type: Book (978-3-319548-39-5)

Readers will always warmly welcome a book on a hot topic in contemporary computer science, and big data is such a topic. As can be seen by looking at the book, the topic is also an important issue for hardware designers and low-level software spec...

Feb 22 2018
  Wikiometrics: a Wikipedia based ranking system
Katz G., Rokach L.  World Wide Web 20(6): 1153-1177, 2017. Type: Article

Wikipedia is one of the most popular websites. It is famous for showing crowd intelligence in many areas, including science, medicine, physics, and so on. People use Wikipedia to learn and extend their knowledge. However, it is not well known that...

Feb 21 2018
  Predictive data mining models
Olson D., Wu D.,  Springer International Publishing, New York, NY, 2017. 102 pp. Type: Book

In an age of artificial intelligence connected primarily to large amounts of constantly changing data, this book’s topic is extremely interesting. It focuses on a demonstration of predictive methods and tools using real business-related data...

Jan 31 2018
 
 
 
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