From Social Data Mining and Analysis to Prediction and Community Detection, Kaya Mehmet, Erdoǧan Цzcan, Rokne Jon
Автор: Klepac, Kopal & Mrsic Название: Developing Churn Models Using Data Mining Techniques And Social Network Analysis ISBN: 1466662883 ISBN-13(EAN): 9781466662889 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.
Автор: Mehmet Kaya; ?zcan Erdo?an; Jon Rokne Название: From Social Data Mining and Analysis to Prediction and Community Detection ISBN: 3319513664 ISBN-13(EAN): 9783319513669 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.
Автор: Witten, Ian H. Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed. ISBN: 0128042915 ISBN-13(EAN): 9780128042915 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Cerrito Patricia, Cerrito John Название: Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis ISBN: 1615209050 ISBN-13(EAN): 9781615209057 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 240320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Demonstrates how concern for detail in datasets and the use of data mining techniques can extract important and meaningful knowledge from healthcare databases. Basic information on processing data with step-by-step instructions is provided, allowing readers to use their own data and follow the instructions to find meaningful results.
Автор: Shibiao Wan,Man-Wai Mak Название: Machine Learning for Protein Subcellular Localization Prediction ISBN: 1501510487 ISBN-13(EAN): 9781501510489 Издательство: Walter de Gruyter Цена: 86720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.
Автор: Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han Название: Outlier Detection for Temporal Data ISBN: 1627053751 ISBN-13(EAN): 9781627053754 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Невозможна поставка. Описание: Compared to general outlier detection, techniques for temporal outlier detection are very different. This book presents an organised picture of both recent and past research in temporal outlier detection. It starts with the basics before moving on to the main ideas in state-of-the-art outlier detection techniques.
Автор: Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Hu Название: Anomaly Detection Principles and Algorithms ISBN: 331988445X ISBN-13(EAN): 9783319884455 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1 Introduction.- 2 Anomaly Detection.- 3 Distance-based Anomaly Detection Approaches.- 4 Clustering-based Anomaly Detection Approaches.- 5 Model-based Anomaly Detection Approaches.- 6 Distance and Density Based Approaches.- 7 Rank Based Approaches.- 8 Ensemble Methods.- 9 Algorithms for Time Series Data.- Datasets for Evaluation.- Datasets for Time Series Experiments.
Автор: Jin Cheqing, Zhou Aoying, Mao Jiali Название: Clustering And Outlier Detection For Trajectory Stream Data ISBN: 9811210454 ISBN-13(EAN): 9789811210457 Издательство: World Scientific Publishing Рейтинг: Цена: 95040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
As mobile devices continue becoming a larger part of our lives, the development of location acquisition technologies to track moving objects have focused the minds of researchers on issues ranging from longitude and latitude coordinates, speed, direction, and timestamping, as part of parameters needed to calculate the positional information and locations of objects, in terms of time and position in the form of trajectory streams. Recently, recent advances have facilitated various urban applications such as smart transportation and mobile delivery services.
Unlike other books on spatial databases, mobile computing, data mining, or computing with spatial trajectories, this book is focused on smart transportation applications.
This book is a good reference for advanced undergraduates, graduate students, researchers, and system developers working on transportation systems.
Автор: Colleen McCue Название: Data Mining and Predictive Analysis ISBN: 0128002298 ISBN-13(EAN): 9780128002292 Издательство: Elsevier Science Рейтинг: Цена: 66240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive,security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining inhomeland security, security analysis, and operational law enforcementsettings.This revised text highlights new and emerging technology, discusses the importance of analytic contextfor ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics inintelligence and securityanalysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment.
Автор: Bhatnagar Название: Data Mining And Analysis In The Engineering Field ISBN: 1466660864 ISBN-13(EAN): 9781466660861 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 218990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization.Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.
Автор: Linoff Gordon S. Название: Data Analysis Using SQL and Excel ISBN: 111902143X ISBN-13(EAN): 9781119021438 Издательство: Wiley Рейтинг: Цена: 41190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis SQL and Excel to perform sophisticated data analysis without the need for complex and expensive data mining tools.
Автор: Marius-Christian Frunza Название: Data Mining and Crime Analysis in Financial Markets ISBN: 0128012218 ISBN-13(EAN): 9780128012215 Издательство: Elsevier Science Рейтинг: Цена: 83080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction to the Theories and Varieties of Modern Crime in Financial Markets explores statistical methods and data mining techniques that, if used correctly, can help with crime detection and prevention. The three sections of the book present the methods, techniques, and approaches for recognizing, analyzing, and ultimately detecting and preventing financial frauds, especially complex and sophisticated crimes that characterize modern financial markets.
The first two sections appeal to readers with technical backgrounds, describing data analysis and ways to manipulate markets and commit crimes. The third section gives life to the information through a series of interviews with bankers, regulators, lawyers, investigators, rogue traders, and others.
The book is sharply focused on analyzing the origin of a crime from an economic perspective, showing Big Data in action, noting both the pros and cons of this approach.
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