Jugal Kumar Kalita's Books

Network Anomaly Detection

A Machine Learning Perspective

By: Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita

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Network Anomaly Detection

A Machine Learning Perspective

By: Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita

With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavi

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Page Count

364

Publisher

CRC Press

Published Date

ISBN 10

146658209X

ISBN 13

9781466582095

Gene Expression Data Analysis

A Statistical and Machine Learning Perspective

By: Pankaj Barah,Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita

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Gene Expression Data Analysis

A Statistical and Machine Learning Perspective

By: Pankaj Barah,Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita

Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge. Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data. Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and biological sciences

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Page Count

379

Publisher

CRC Press

Published Date

ISBN 10

1000425738

ISBN 13

9781000425734

DDoS Attacks

Evolution, Detection, Prevention, Reaction, and Tolerance

By: Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita

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DDoS Attacks

Evolution, Detection, Prevention, Reaction, and Tolerance

By: Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita

DDoS Attacks: Evolution, Detection, Prevention, Reaction, and Tolerance discusses the evolution of distributed denial-of-service (DDoS) attacks, how to detect a DDoS attack when one is mounted, how to prevent such attacks from taking place, and how to react when a DDoS attack is in progress, with the goal of tolerating the attack. It introduces typ

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Page Count

311

Publisher

CRC Press

Published Date

ISBN 10

1498729657

ISBN 13

9781498729659

Fundamentals of Data Science

Theory and Practice

By: Jugal K. Kalita,Dhruba K. Bhattacharyya,Swarup Roy

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Fundamentals of Data Science

Theory and Practice

By: Jugal K. Kalita,Dhruba K. Bhattacharyya,Swarup Roy

Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors' research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included. - Presents the foundational concepts of data science along with advanced concepts and real-life applications for applied learning - Includes coverage of a number of key topics such as data quality and pre-processing, proximity and validation, predictive data science, descriptive data science, ensemble learning, association rule mining, Big Data analytics, as well as incremental and distributed learning - Provides updates on key applications of data science techniques in areas such as Computational Biology, Network Intrusion Detection, Natural Language Processing, Software Clone Detection, Financial Data Analysis, and Scientific Time Series Data Analysis - Covers computer program code for implementing descriptive and predictive algorithms

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Page Count

336

Publisher

Elsevier

Published Date

ISBN 10

0323972632

ISBN 13

9780323972635

Book's by Jugal Kumar Kalita

Network Anomaly Detection

Network Anomaly Detection

Gene Expression Data Analysis

Gene Expression Data Analysis

DDoS Attacks

DDoS Attacks

Fundamentals of Data Science

Fundamentals of Data Science

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