Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers: Lecture Notes in Computer Science, cartea 8643
Editat de Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chenen Limba Engleză Paperback – 10 dec 2014
The 73 revised papers presented were carefully reviewed and selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and Decision Analytics for Public Health and Wellness, DMDA-Health; Biologically Inspired Data Mining Techniques, BDM; Mobile Data Management, Mining, and Computing on Social Networks, MobiSocial; Big Data Science and Engineering on E-Commerce, BigEC; Cloud Service Discovery, CloudSD; Mobile Sensing, Mining and Visualization for Human Behavior Inferences, MSMV-HBI; Scalable Dats Analytics: Theory and Algorithms, SDA; Algorithms for Large-Scale Information Processing in Knowledge Discovery, ALSIP; Data Mining in Social Networks, SocNet; Data Mining in Biomedical Informatics and Healthcare, DMBIH; and Pattern Mining and Application of Big Data, BigPMA.
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Specificații
ISBN-13: 9783319131856
ISBN-10: 3319131850
Pagini: 856
Ilustrații: XXI, 833 p. 348 illus.
Dimensiuni: 155 x 235 x 45 mm
Greutate: 1.18 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319131850
Pagini: 856
Ilustrații: XXI, 833 p. 348 illus.
Dimensiuni: 155 x 235 x 45 mm
Greutate: 1.18 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Data Analytics for Targeted Healthcare, DANTH.- Data Mining and Decision Analytics for Public Health and Wellness, DMDA-Health.- Biologically Inspired Data Mining Techniques, BDM.- Mobile Data Management, Mining, and Computing on Social Networks, MobiSocial.- Big Data Science and Engineering on E-Commerce, BigEC.- Cloud Service Discovery, CloudSD.- Mobile Sensing, Mining and Visualization for Human Behavior Inferences, MSMV-HBI.- Scalable Dats Analytics: Theory and Algorithms, SDA.- Algorithms for Large-Scale Information Processing in Knowledge Discovery, ALSIP.- Data Mining in Social Networks, SocNet.- Data Mining in Biomedical Informatics and Healthcare, DMBIH.- Pattern Mining and Application of Big Data, BigPMA.
Textul de pe ultima copertă
This book constitutes the refereed proceedings at PAKDD Workshops 2014, held in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014.
The 73 revised papers presented were carefully reviewed and selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and Decision Analytics for Public Health and Wellness, DMDA-Health; Biologically Inspired Data Mining Techniques, BDM; Mobile Data Management, Mining, and Computing on Social Networks, MobiSocial; Big Data Science and Engineering on E-Commerce, BigEC; Cloud Service Discovery, CloudSD; Mobile Sensing, Mining and Visualization for Human Behavior Inferences, MSMV-HBI; Scalable Dats Analytics: Theory and Algorithms, SDA; Algorithms for Large-Scale Information Processing in Knowledge Discovery, ALSIP; Data Mining in Social Networks, SocNet; Data Mining in Biomedical Informatics and Healthcare, DMBIH; and Pattern Mining and Application of Big Data, BigPMA.
The 73 revised papers presented were carefully reviewed and selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and Decision Analytics for Public Health and Wellness, DMDA-Health; Biologically Inspired Data Mining Techniques, BDM; Mobile Data Management, Mining, and Computing on Social Networks, MobiSocial; Big Data Science and Engineering on E-Commerce, BigEC; Cloud Service Discovery, CloudSD; Mobile Sensing, Mining and Visualization for Human Behavior Inferences, MSMV-HBI; Scalable Dats Analytics: Theory and Algorithms, SDA; Algorithms for Large-Scale Information Processing in Knowledge Discovery, ALSIP; Data Mining in Social Networks, SocNet; Data Mining in Biomedical Informatics and Healthcare, DMBIH; and Pattern Mining and Application of Big Data, BigPMA.
Caracteristici
Includes supplementary material: sn.pub/extras