Download Big data : algorithms, analytics, and applications by Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo PDF

By Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea

"Data are generated at an exponential cost worldwide. via complex algorithms and analytics innovations, organisations can harness this knowledge, become aware of hidden styles, and use the findings to make significant judgements. Containing contributions from best specialists of their respective fields, this e-book bridges the space among the vastness of huge facts and the fitting computational equipment for Read more...

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He serves as a panel leader and moderator in international conferences. He was an invited speaker in several international conferences worldwide (Europe, United States, and Asia). He is a member of scientific boards of several PhD programs worldwide (Europe and Australia). He serves as an editor for the Springer series Communications in Computer and Information Science. He covers a large number of roles in international journals, such as editor in chief, associate editor, and special issue editor (including JCSS, IS, KAIS, FGCS, DKE, INS, and Big Data Research).

OLp = search in DSp. 9. dp = calculate_distance(q, 2k, OLp). 10. Send the distances dp to the broker. 5 EVALUATION Large-scale experiments were conducted to evaluate the efficiency and the scalability of the three approaches in terms of recall (RE), position error (PE), indexing time, and searching time. The three approaches were implemented using message passing interface (MPI) [30]. The results section is divided into three subsections. 1, we measure the average RE and PE for the three distributed approaches.

Pattern Recognition Letters, 24(14):2357–2366, 2003. 6. C. -I. Lin. Fastmap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. SIGMOD Record, 24(2):163–174, 1995. A. Andoni and P. Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Communications of the ACM, 51(1):117–122, 2008. P. Ciaccia, M. Patella and P. Zezula. M-tree: An efficient access method for similarity search in metric spaces. In M. Jarke, M.

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