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Titolo: | Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 2 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta |
Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Edizione: | 1st ed. 2019. |
Descrizione fisica: | 1 online resource (864 pages) : illustrations |
Disciplina: | 006.312 |
Soggetto topico: | Engineering |
Artificial intelligence | |
Computer security | |
Computational Intelligence | |
Artificial Intelligence | |
Systems and Data Security | |
Persona (resp. second.): | AbrahamAjith |
DuttaParamartha | |
MandalJyotsna Kumar | |
BhattacharyaAbhishek | |
DuttaSoumi | |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Emerging technologies in data mining and information security |
ISBN: | 981-13-1498-5 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484325803321 |
Lo trovi qui: | Univ. Federico II |
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