Big data applications in industry 4.0

<P>Preface</P><P>Acknowledgments</P><P>Editors</P><P>Contributors</P><P></P><P>1 Data Science and Its Applications</P><P>PAUL ABRAHAM AND LAKSHMINARAYANAN S</P><P></P><P>2 Industry 4.0: Data and Data Integration</P><P>PAVAN GUNDARAPU</P><P></P><P>3 Forecasting Principles and Models: An Overview</P><P>R. VIJAYARAGHAVAN</P><P></P><P>4 Breaking Technology Barriers in Diabetes and Industry 4.0</P><P>KRISHNAN SWAMINATHAN AND THAVAMANI D. PALANISWAMI</P><P></P><P>5 Role of Big Data Analytics in Industrial Revolution 4.0</P><P>V. BHUVANESWARI</P><P></P><P>6 Big Data Infrastructure and Analytics for Education 4.0</P><P>CHANDRA ESWARAN AND RATHINARAJA JEYARAJ</P><P></P><P>7 Text Analytics in Big Data Environments</P><P>R. JANANI AND S. VIJAYARANI</P><P></P><P>8 Business Data Analytics: Applications and Research Trends</P><P>S. SHARMILA AND S. VIJAYARANI</P><P></P><P>9 Role of Big Data Analytics in the Financial Service Sector</P><P>V. RAMANUJAM AND D. NAPOLEON</P><P></P><P>10 Role of Big Data Analytics in the Education Domain</P><P>C. SIVAMATHI AND S. VIJAYARANI</P><P>11 Social Media Analytics</P><P>E. SUGANYA AND S. VIJAYARANI</P><P></P><P>12 Robust Statistics: Methods and Applications</P><P>R. MUTHUKRISHNAN</P><P></P><P>13 Big Data in Tribal Healthcare and Biomedical Research</P><P>DHIVYA VENKATESAN, ABILASH VALSALA GOPALAKRISHNAN, NARAYANASAMY ARUL, CHHAKCHHUAK LALCHHANDAMA, BALACHANDAR VELLINGIRI AND N. SENTHIL KUMAR</P><P></P><P>14 PySpark towards Data Analytics</P><P>J. RAMSINGH</P><P></P><P>15 How to Implement Data Lake for Large Enterprises</P><P>RAGAVENDRAN CHANDRASEKARAN</P><P></P><P>16 A Novel Application of Data Mining Techniques for Satellite Performance Analysis</P><P>S.A. KANNAN AND T. DEVI</P><P>17 Big Data Analytics: A Text Mining Perspective and Applications in Biomedicine and Healthcare</P><P>JEYAKUMAR NATARAJAN, BALU BHASURAN, AND GURUSAMY MURUGESAN</P><P></P><P>Index</P>