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Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA 2019 (Lecture Notes in Electrical Engineering)
Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA 2019 (Lecture Notes in Electrical Engineering)
This book gathers the best papers presented at the International Conference on Data Sciences, Security and Applications (ICDSSA 2019), organized by Bharati Vidyapeeth’s College of Engineering, New Delhi, India, on 7–8 March 2019. The respective contributions present original research work, essential information, techniques and...
Sequence Data Mining (Advances in Database Systems)
Sequence Data Mining (Advances in Database Systems)
Sequences are an important type of data which occur frequently in many scientific, medical, security, business and other applications. For example, DNA sequences encode the genetic makeup of humans and all species, and protein sequences describe the amino acid composition of proteins and encode the structure and function of...
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Get command of your organizational Big Data using the power of data science and analytics

Key Features

  • A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions
  • Work with the best tools such as Apache...
Knowledge Discovery from Sensor Data (Industrial Innovation)
Knowledge Discovery from Sensor Data (Industrial Innovation)
Addressing the issues challenging the sensor community, this book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. Illustrated with case studies, it discusses the challenges and requirements for sensor data-based knowledge discovery solutions in high-priority application. The...
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science)
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science)
This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, R.S.F.D.Gr.C. 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83...
Data Mining for Bioinformatics
Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining...

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in...
Data Mining for Social Network Data (Annals of Information Systems)
Data Mining for Social Network Data (Annals of Information Systems)

Driven by counter-terrorism efforts, marketing analysis, and the explosion in on-line social networking, data mining has moved to the top of the agenda in information science. This book presents a broad range of recent studies in social networking analysis.

 

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path...
Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and...
Applied Data Mining
Applied Data Mining

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and...

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