Data mining

This book details how to assess electric mobility characteristics within electric vehicles, discussing energy management methods, automated systems, and the enormous potential of data resources mined from software, navigation systems, and connectivity.

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining.

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks.

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks.

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities.

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities.

A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst.

This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation.

This book highlights the practical aspects of using Oracle Essbase and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution.

There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner's viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics.

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI.

This book explores the possibility of using social media data for detecting socio-economic recovery activities.

Perform efficient fast text representation and classification with Facebook's fastText libraryKey FeaturesIntroduction to Facebook's fastText library for NLPPerform efficient word representations, sentence classification, vector representationBuild better, more scalable solutions for text representation and classificationBook DescriptionFacebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP).

A fully updated, integrated self-study system for the Oracle Database SQL ExamThis thoroughly revised Oracle Press guide offers 100% coverage of all objectives on the latest version of the Oracle Database SQL Exam.

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Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

THE BEST SQL BOOK FOR BEGINNERS - HANDS DOWN!

This book explores cognitive behavior among Internet of Things.

Big Data is a growing business trend, but there little advice available on how to use it practically.

In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge.

With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences.

With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences.

The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign.

The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign.

This handbook addresses how smart operations, management, and healthcare can be used to detect and analyze supply chain problems, business problems, and diseases.

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations.

This is the first book to provide an in-depth coverage of all the developments, issues and challenges in secure databases and applications.

Bioinformatics, the use of computers to address biological questions, has become an essential tool in biological research.

Marketing Database Analytics presents a step-by-step process for understanding and interpreting data in order to gain insights to drive business decisions.

Marketing Database Analytics presents a step-by-step process for understanding and interpreting data in order to gain insights to drive business decisions.

We are in the era of large-scale science.

This Third Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field.

Blockchain, a decentralized ledger technology based on cryptographic algorithms, ensures the creation of immutable and tamper-proof ledgers in decentralized systems.

Blockchain, a decentralized ledger technology based on cryptographic algorithms, ensures the creation of immutable and tamper-proof ledgers in decentralized systems.

This is an applied handbook for the application of data mining techniques in the CRM framework.

What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization?

What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization?

DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration.

DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration.

"e;Turn yourself into a Data Head.

"e;Turn yourself into a Data Head.

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the fieldBig Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems.

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the fieldBig Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems.

The different facets of the sharing economy offer numerous opportunities for businesses ?

The different facets of the sharing economy offer numerous opportunities for businesses ?

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.

This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology.

This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology.