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.

eBook - ePub
Handbook of Research for Big Data
Concepts and Techniques
- 380 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Handbook of Research for Big Data
Concepts and Techniques
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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...
Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- About the Editors
- Table of Content
- Contributors
- Abbreviations
- Preface
- Big Data in Governance in India: Case Studies
- Design and Analysis of Reconfigurable Computing of SoC for IoT Applications
- A Review of Different Data Mining Techniques Used in Big Data Applications
- Big Data Applications in Transportation Systems Using the Internet of Things
- Overview of Big Data and Natural Language Processing: A Powerful Combination for Research
- An Insight into Big Data and Its Pertinence
- Big Data Science: Models and Approaches, Characteristics, Challenges, and Applications
- Conceptual Frameworks for Big Data Visualization: Discussion of Models, Methods, and Artificial Intelligence for Graphical Representations of Data
- Role of Machine Learning in Big Data Peregrination
- Artificial Neural Networks: Fundamentals, Design, and Applications
- Big Data: Trends, Challenges, Opportunities, Tools, Success Factors, and the Way Toward Pandemic Analytics
- Applying Tenacious Machine Learning Classification Techniques for Drug-Free Nipah Virus Prediction
- An Approach for Controlling Disaster Management by Machine Learning Technique
- Index
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Yes, you can access Handbook of Research for Big Data by Brojo Kishore Mishra,Vivek Kumar,Sanjaya Kumar Panda,Prayag Tiwari, Brojo Kishore Mishra, Vivek Kumar, Sanjaya Kumar Panda, Prayag Tiwari in PDF and/or ePUB format, as well as other popular books in Business & Information Management. We have over 1.5 million books available in our catalogue for you to explore.