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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 532 Reviews about "Data Mining (H.2.8...)": Date Reviewed
  A hybrid framework for mining high-utility itemsets in a sparse transaction database
Dawar S., Goyal V., Bera D.  Applied Intelligence 47(3): 809-827, 2017. Type: Article

Brain tumor detection poses serious challenges not only because the brain is a complex structure, but also because tumors can be serious and often fatal. Of course methods already exist to scan the brain, even in a state of consciousness, and clas...

Jan 19 2018
  Data science: a comprehensive overview
Cao L.  ACM Computing Surveys 50(3): 1-42, 2017. Type: Article

This paper brings together a cohesive picture of data science, a new interdisciplinary academic field, from many different perspectives....

Jan 11 2018
  Location detection and disambiguation from Twitter messages
Inkpen D., Liu J., Farzindar A., Kazemi F., Ghazi D.  Journal of Intelligent Information Systems 49(2): 237-253, 2017. Type: Article

Imagine Twitter as a location-based service that helps businesses and other organizations to act according to the location data from Twitter messages. Maybe it sounds strange or impossible, but it is a reality. Detecting locations from Twitter mes...

Jan 8 2018
  TravisTorrent: synthesizing Travis CI and GitHub for full-stack research on continuous integration
Beller M., Gousios G., Zaidman A.  MSR 2017 (Proceedings of the 14th International Conference on Mining Software Repositories, Buenos Aires, Argentina,  May 20-28, 2017) 447-450, 2017. Type: Proceedings

When it comes to software engineering, it is not new that industry plays an important (if not the most important) role in leveraging innovation in the field. But it is also true that some innovations lack a deep understanding of the benefits and c...

Jan 4 2018
  Phrase mining from massive text and its applications
Liu J., Shang J., Han J.,  Morgan & Claypool Publishers, San Rafael, CA, 2017. 90 pp. Type: Book (978-1-627058-98-8)

The extraction of what the authors call “quality phrases” from text is the topic of discussion in this monograph. To get an idea of what is meant by “quality” for a phrase, consider the three-word phrase “relational d...

Jan 4 2018
  Detecting cooperative and organized spammer groups in micro-blogging community
Dang Q., Zhou Y., Gao F., Sun Q.  Data Mining and Knowledge Discovery 31(3): 573-605, 2017. Type: Article

Public relations (PR) companies hire and pay cooperative and organized spammer groups to post specific content on online microblogging sites, such as Twitter, to influence public opinion or trending topics (topic hijacking). Detecting such spammer...

Jan 4 2018
  Hiding the metadata in communication systems
Dan Boneh. YouTube, 00:55:34, published on Jan 24, 2017, University of Washington Computer Science & Engineering, Type: Video

Security and privacy are two critical concerns in today’s mobile world, especially with regard to the Internet, social networking, and communications systems such as chat systems and messaging. Great strides have been made in the area of rea...

Jan 3 2018
  A survey on data preprocessing for data stream mining
Ramírez-Gallego S., Krawczyk B., García S., Woźniak M., Herrera F.  Neurocomputing 239 39-57, 2017. Type: Article

Data stream mining has become an important phenomenon with new technologies ranging from patient tracking to stock market investing. Data streams contain data items in temporal order and are potentially endless. Efficient and effective mining of t...

Dec 28 2017
  Data mining: practical machine learning tools and techniques (4th ed.)
Witten I., Frank E., Hall M., Pal C.,  Morgan Kaufmann Publishers Inc., San Francisco, CA, 2016. 654 pp. Type: Book (978-0-128042-91-5)

The commercial importance of data mining has led to a plethora of books on the subject, but few volumes prove their value sufficiently to warrant a fourth edition. The first edition of this book appeared in 2000, from the machine learning group at...

Nov 7 2017
  Tiers for peers: a practical algorithm for discovering hierarchy in weighted networks
Tatti N.  Data Mining and Knowledge Discovery 31(3): 702-738, 2017. Type: Article

In the recent world of social networks and big data, the investigation of graph structures representing relationships between components of large datasets is a practically relevant and scientifically interesting question. The main aim of these app...

Nov 7 2017
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