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Emerging technologies in data mining and information securityproceedings of IEMIS 2018.Volume 2 /
正題名/作者 ： Emerging technologies in data mining and information security/ edited by Ajith Abraham ... [et al.].
其他題名 ： proceedings of IEMIS 2018.
其他作者 ： Abraham, Ajith.
團體作者 ： International Conference on Emerging Technologies in Data Mining and Information Security
出版者 ： Singapore :Springer Nature Singapore,2019.
面頁冊數 ： xxx, 885 p. :ill., digital ;24 cm.
Contained By ： Springer eBooks
標題 ： Data mining - Congresses. -
電子資源 ： 線上閱讀(Springer)
ISBN ： 9789811314988$q(electronic bk.)
ISBN ： 9789811314971$q(paper)
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245 10$aEmerging technologies in data mining and information security$h[electronic resource] :$bproceedings of IEMIS 2018.$nVolume 2 /$cedited by Ajith Abraham ... [et al.].
260 $aSingapore :$bSpringer Nature Singapore,$c2019.
300 $axxx, 885 p. :$bill., digital ;$c24 cm.
490 1 $aAdvances in intelligent systems and computing,$x2194-5357 ;$vv.813
505 0 $aThe 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.
520 $aThe book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
650 0$aData mining$vCongresses.$3404478
650 0$aComputer security$vCongresses.$3303621
650 14$aComputational Intelligence.$3401779
650 24$aArtificial Intelligence.$3263467
650 24$aSystems and Data Security.$3404207
700 1 $aAbraham, Ajith.$3407035
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950 $aIntelligent Technologies and Robotics (Springer-42732)
Emerging technologies in data mining and information securityproceedings of IEMIS 2018.Volume 2 /[electronic resource] :edited by Ajith Abraham ... [et al.]. - Singapore :Springer Nature Singapore,2019. - xxx, 885 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.8132194-5357 ;. - Advances in intelligent systems and computing ;v.813..
The Study of Sentimental State of Human from Tweet Text -- Data Analytic Techniques with Hardware Based Encryption for High Profile Dataset -- Exploring Student Migration in Rural Region of Bangladesh -- Analysis on Lightning News And Correlation With Lightning Imaging Sensor (LIS) Data -- Design of Business Canvas Model for Social Media -- EEG Signal Analysis Using Different Clustering Techniques -- Viable Crop Prediction Scenario in Big Data Using a Novel Approach -- A Graph Based Approach on Extractive Summarization -- Promises and Challenges of Big Data in a Data Driven World -- A Proposed Approach for Improving Hadoop Performance For Handling Small Files -- Identification of the Recurrence of Breast Cancer by Discriminant Analysis -- Spam Detection in SMS based on Feature Selection Techniques -- Analysis and Design of an Efficient Temporal Data Mining Model for the Indian Stock Market -- Community Detection Methods in Social Network Analysis -- A Comparative Study on Cluster Analysis of Micro-Blogging Data.
The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
ISBN: 9789811314988$q(electronic bk.)Subjects--Topical Terms:
404478
Data mining
--Congresses.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
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.
ISBN: 9789811314988$q(electronic bk.)Subjects--Topical Terms:
404478
Data mining
--Congresses.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
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