Handbook of Research for Big Data

Concepts and Techniques

Brojo Kishore Mishra, Vivek Kumar, Sanjaya Kumar Panda, Prayag Tiwari

• Publisher: Apple Academic Press
• Year: 2022
• ISBN:
  9781000341966
• Edition: 1
• Topic: Commerce
• Subtopic: Gestion de l'information

Data has become a valuable asset like never before. The challenge today is not a shortage of data but the need for techniques and methods capable enough to be able to glean valuable insights from the fast-flowing mass of big data. This new volume helps to meet the challenge of managing and using big data by presenting new research on various technological advances in the field. The chapters in the book present information on important applications, concepts, and technologies for big data in the present industry and market scenario. It looks at research domain issues and their solutions as well as various research case studies, research plans, methodologies, and related data sets for the four Vs: volume, velocity, variety, and veracity. Chapters discuss big data in governance, transportation, disaster management, epidemiology, and more. The book covers design and analysis of reconfigurable computing of SoC for IoT, data mining techniques and applications, the use of natural language processing in big data, and more.

Index

A

• Aadhaar, 13–19
  • data digitization, 16
  • enrollment, 17
  • numbers, 13, 15
  • payments, 17
  • seeding, 15, 16
• Accidental endogeneity, 126, 127
• Acoustic communication, 152
• Actual
  • mining algorithms, 140
  • time information, 99
• Actuarial science, 11
• Administration
  • conveyance, 14
  • suppliers, 18, 19
• Administrative acquiescence, 101
• Advanced
  • metering infrastructure (AMI), 22
  • RISC machines (ARM), 32, 53, 56
• Aggregation phase, 67
• Algorithm
  • alterations, 258
  • influences, 258
• Algorithmic seeding, 15
• Amalgamation, 101, 132
• Amazon, 5, 6, 97, 119, 138, 151, 307, 315
  • five-star structure, 119
  • net services, 5
  • web services, 6, 315
• Anomaly detection, 64, 66, 91
• Apache
  • Hadoop programming, 128
  • spark, 74–76, 78, 85
• Application layer, 98, 143
• Apriori, 64, 66, 71, 77, 78, 186
  • frequent pattern, 64
  • techniques, 77
• Artificial
  • intelligence (AI), 96, 183, 189, 193, 197, 199, 225, 227–230, 238, 297, 315, 316, 324, 325, 338
  • neural network (ANN), 65, 76, 77, 257, 274, 277, 279, 282, 294, 323
  • neural network topologies, 285
  • single input perceptron model, 282, 289
• Association
  • mining, 66...