EISA: An Efficient Information Theoretical Approach to Value Segmentation in Large Databases

Weiqing Wang, Shazia Wasim Sadiq, Xiaofang Zhou. EISA: An Efficient Information Theoretical Approach to Value Segmentation in Large Databases. In Lei Chen 0002, Yan Jia, Timos Sellis, Guanfeng Liu, editors, Web Technologies and Applications - 16th Asia-Pacific Web Conference, APWeb 2014, Changsha, China, September 5-7, 2014. Proceedings. Volume 8709 of Lecture Notes in Computer Science, pages 224-235, Springer, 2014. [doi]

@inproceedings{WangSZ14-4,
  title = {EISA: An Efficient Information Theoretical Approach to Value Segmentation in Large Databases},
  author = {Weiqing Wang and Shazia Wasim Sadiq and Xiaofang Zhou},
  year = {2014},
  doi = {10.1007/978-3-319-11116-2_20},
  url = {http://dx.doi.org/10.1007/978-3-319-11116-2_20},
  researchr = {https://researchr.org/publication/WangSZ14-4},
  cites = {0},
  citedby = {0},
  pages = {224-235},
  booktitle = {Web Technologies and Applications - 16th Asia-Pacific Web Conference, APWeb 2014, Changsha, China, September 5-7, 2014. Proceedings},
  editor = {Lei Chen 0002 and Yan Jia and Timos Sellis and Guanfeng Liu},
  volume = {8709},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-11115-5},
}