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Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline...
Python for Data Mining Quick Syntax Reference
Python for Data Mining Quick Syntax Reference
?Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.

Predictive Analytics For Dummies
Predictive Analytics For Dummies

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
“If you torture the data long enough, Nature will confess,” said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, “long enough” may, in practice, be “too long” in many applications and thus unacceptable. Second,...
Data Mining Tools for Malware Detection
Data Mining Tools for Malware Detection

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop...

Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects
...
Spatial Databases: Technologies, Techniques and Trends
Spatial Databases: Technologies, Techniques and Trends
Spatial database systems has been an active area of research over the past 20 years. A large number of research efforts have appeared in literature aimed at effective modelling of spatial data and efficient processing of spatial queries. This book investigates several aspects of a spatial database system, and includes recent research efforts in...
Pro Power BI Architecture: Sharing, Security, and Deployment Options for Microsoft Power BI Solutions
Pro Power BI Architecture: Sharing, Security, and Deployment Options for Microsoft Power BI Solutions
Architect and deploy a Power BI solution. This book will help you understand the many available options and choose the best combination for hosting, developing, sharing, and deploying a Power BI solution within your organization.

Pro Power BI Architecture provides detailed examples and explains...
Introduction to Electrical Circuit Analysis
Introduction to Electrical Circuit Analysis

A concise and original presentation of the fundamentals for ‘new to the subject’ electrical engineers

This book has been written for students on electrical engineering courses who don’t necessarily possess prior knowledge of electrical circuits.  Based on the author’s own teaching experience, it...

R Machine Learning By Example
R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

About This Book

  • Get to grips with the concepts of machine learning through exciting real-world examples
  • Visualize and solve complex problems...
Applications of Data Mining in E-Business and Finance (Frontiers in Artificial Intelligence and Applications)
Applications of Data Mining in E-Business and Finance (Frontiers in Artificial Intelligence and Applications)
The application of Data Mining (DM) technologies has shown an explosive growth in an increasing number of different areas of business, government and science. Two of the most important business areas are finance, in particular in banks and insurance companies, and e-business, such as web portals, e-commerce and ad management services.In...
Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)
Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)
Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source...
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