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Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2018 . Volume 2 / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta

Contributor(s): Abraham, Ajith (1968-), editor literario | Dutta, Paramartha, editor literario | Mandal, Jyotsna Kumar., editor literario | Bhattacharya, Abhishek., editor literario | Dutta, Soumi., editor literario | SpringerLink (Online service)
Series: (Advances in Intelligent Systems and Computing, 2194-5357 ;; 813); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2019Description: 1 recurso en línea (XXX, 885 páginas) : 315 ilustraciones,231 ilustraciones a color.ISBN: 9789811314988.Subject: Data miningOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
The Study of Sentimental State of Human from Tweet Text -- Data Analytic Techniques with Hardware Based Encryption for High Profile Dataset -- Exploring Student Migration in Rural Region of Bangladesh -- Analysis on Lightning News And Correlation With Lightning Imaging Sensor (LIS) Data -- Design of Business Canvas Model for Social Media -- EEG Signal Analysis Using Different Clustering Techniques -- Viable Crop Prediction Scenario in Big Data Using a Novel Approach -- A Graph Based Approach on Extractive Summarization -- Promises and Challenges of Big Data in a Data Driven World -- A Proposed Approach for Improving Hadoop Performance For Handling Small Files -- Identification of the Recurrence of Breast Cancer by Discriminant Analysis -- Spam Detection in SMS based on Feature Selection Techniques -- Analysis and Design of an Efficient Temporal Data Mining Model for the Indian Stock Market -- Community Detection Methods in Social Network Analysis -- A Comparative Study on Cluster Analysis of Micro-Blogging Data.
Abstract: The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.D343 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBooks26062076
Total holds: 0

The Study of Sentimental State of Human from Tweet Text -- Data Analytic Techniques with Hardware Based Encryption for High Profile Dataset -- Exploring Student Migration in Rural Region of Bangladesh -- Analysis on Lightning News And Correlation With Lightning Imaging Sensor (LIS) Data -- Design of Business Canvas Model for Social Media -- EEG Signal Analysis Using Different Clustering Techniques -- Viable Crop Prediction Scenario in Big Data Using a Novel Approach -- A Graph Based Approach on Extractive Summarization -- Promises and Challenges of Big Data in a Data Driven World -- A Proposed Approach for Improving Hadoop Performance For Handling Small Files -- Identification of the Recurrence of Breast Cancer by Discriminant Analysis -- Spam Detection in SMS based on Feature Selection Techniques -- Analysis and Design of an Efficient Temporal Data Mining Model for the Indian Stock Market -- Community Detection Methods in Social Network Analysis -- A Comparative Study on Cluster Analysis of Micro-Blogging Data.

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

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