Big Data Analytics

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Contents Big Data Analytics: Views from Statistical and Computational Perspectives ................................................. 1 Saumyadipta Pyne, B.L.S. Prakasa Rao and S.B. Rao Massive Data Analysis: Tasks, Tools, Applications, and Challenges .... 11 Murali K. Pusala, Mohsen Amini Salehi, Jayasimha R. Katukuri, Ying Xie and Vijay Raghavan Statistical Challenges with Big Data in Management Science ......... 41 Arnab Laha Application of Mixture Models to Large Datasets .................. 57 Sharon X. Lee, Geoffrey McLachlan and Saumyadipta Pyne An Efficient Partition-Repetition Approach in Clustering of Big Data ................................................. 75 Bikram Karmakar and Indranil Mukhopadhayay Online Graph Partitioning with an Affine Message Combining Cost Function ............................................... 95 Xiang Chen and Jun Huan Big Data Analytics Platforms for Real-Time Applications in IoT ...... 115 Yogesh Simmhan and Srinath Perera Complex Event Processing in Big Data Systems .................... 137 Dinkar Sitaram and K.V. Subramaniam Unwanted Traffic Identification in Large-Scale University Networks: A Case Study. ...................................... 163 Chittaranjan Hota, Pratik Narang and Jagan Mohan Reddy Application-Level Benchmarking of Big Data Systems .............. 189 Chaitanya Baru and Tilmann Rabl ix
x Contents Managing Large-Scale Standardized Electronic Health Records. ...... 201 Shivani Batra and Shelly Sachdeva Microbiome Data Mining for Microbial Interactions and Relationships ................................................ 221 Xingpeng Jiang and Xiaohua Hu A Nonlinear Technique for Analysis of Big Data in Neuroscience ..... 237 Koel Das and Zoran Nenadic Big Data and Cancer Research ................................. 259 Binay Panda
Page 1 and 2: Saumyadipta Pyne · B.L.S. Prakasa
Page 3 and 4: Saumyadipta Pyne ⋅ B.L.S. Prakasa
Page 5 and 6: Foreword Big data is transforming t
Page 7: viii Preface We thank all the autho
Page 11 and 12: xii About the Editors biological, n
Page 13 and 14: 2 S. Pyne et al. ethics. If data po
Page 15 and 16: 4 S. Pyne et al. Therefore, as data
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Page 19 and 20: 8 S. Pyne et al. stays of high-dime
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Page 23 and 24: 12 M.K. Pusala et al. 1 Introductio
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48 A. Laha angular data), variation
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50 A. Laha that it creates a histog
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52 A. Laha It is seen that the ASR
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54 A. Laha However, better methods
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Application of Mixture Models to La
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An Efficient Partition-Repetition A
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96 X. Chen and J. Huan 1 Introducti
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98 X. Chen and J. Huan Hash or rand
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100 X. Chen and J. Huan Fig. 1 Vert
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102 X. Chen and J. Huan According t
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104 X. Chen and J. Huan Fig. 3 Assi
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106 X. Chen and J. Huan The ADG alg
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108 X. Chen and J. Huan partition o
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110 X. Chen and J. Huan Table 5 Ave
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112 X. Chen and J. Huan orders. At
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114 X. Chen and J. Huan 10. Ng AY (
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116 Y. Simmhan and S. Perera will b
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118 Y. Simmhan and S. Perera human-
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120 Y. Simmhan and S. Perera IoT sy
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122 Y. Simmhan and S. Perera Fig. 1
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124 Y. Simmhan and S. Perera Finall
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126 Y. Simmhan and S. Perera detect
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128 Y. Simmhan and S. Perera Fig. 3
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130 Y. Simmhan and S. Perera perfor
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132 Y. Simmhan and S. Perera get fe
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134 Y. Simmhan and S. Perera Refere
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Complex Event Processing in Big Dat
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164 C. Hota et al. security and pri
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166 C. Hota et al. The network is p
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168 C. Hota et al. Fig. 5 Web usage
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170 C. Hota et al. the P2P network
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172 C. Hota et al. authors in [45]
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174 C. Hota et al. Table 1 Applicat
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176 C. Hota et al. Fig. 7 Flow-base
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178 C. Hota et al. applications lik
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180 C. Hota et al. Fig. 10 Botnet T
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182 C. Hota et al. The build time o
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Application-Level Benchmarking of B
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202 S. Batra and S. Sachdeva 1 Intr
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Microbiome Data Mining for Microbia
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238 K. Das and Z. Nenadic a viable
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Big Data and Cancer Research Binay
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