Data mining

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence.

In recent years, the Medical Internet of Things (MIoT) has emerged as one of the most helpful technological gifts to mankind.

A resource for social scientists on how Twitter data can be used to study individual behavior and social interaction.

"e;An engaging introduction to an exciting multidisciplinary field where positive impact depends less on technology than on understanding and responding to human motivations, specific information needs, and life constraints.

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns.

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.

This book discusses the advanced databases for the cloud-based application known as NoSQL.

This book constitutes the revised selected papers of the 12th International Workshop on Information Search, Integration and Personalization, ISIP 2018, held in Fukuoka, Japan, in May 2018.

Shortlisted for the William Hill Sports Book of the Year Award 2022Football has always measured success by what you win, but only in the last twenty years have clubs started to think about how you win.

Graph data closes the gap between the way humans and computers view the world.

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning.

Apply analytics to business problems using two very popular software tools, SAS and R.

Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics.

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.

This book constitutes the refereed proceedings of the 5th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2020, held in Chicago, USA, in December 2020.

This book constitutes the proceedings of the 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, held in Leeds, UK,  in September 2018.

Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries.

This book investigates how we as citizens of Society 5.

This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling.

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities - A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies.

A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information.

Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories.

This book constitutes the refereed proceedings of the 35th Annual IFIP WG 11.

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball.

This book proposes new control and protection schemes to improve the overall stability and security of future wide-area power systems.

How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal with diagnoses.

Cyberspace is changing the face of crime.

This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020, held in Hainan, China, in October/November 2020.

"e;An engaging introduction to an exciting multidisciplinary field where positive impact depends less on technology than on understanding and responding to human motivations, specific information needs, and life constraints.

Translational bioinformatics (TBI) involves development of storage, analytics, and advanced computational methods to harvest knowledge from voluminous biomedical and genomic data into 4P healthcare (proactive, predictive, preventive, and participatory).

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.

Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition.

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.

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

This book focuses on new and innovative spatial approaches based on smart solutions and developed in the field of geography and related interdisciplinary fields such as urban and regional studies, landscape ecology and ecosystem services.

Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.

This book constitutes the refereed proceedings of the 22nd European Conference on Genetic Programming, EuroGP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* events EvoCOP, EvoMUSART, and EvoApplications.

The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures.

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing.

In machine learning applications, practitioners must take into account the cost associated with the algorithm.

The professional programmer's Deitel(R) guide to Python(R) with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today's most compelling, leading-edge computing technologies and programming in Python-one of the world's most popular and fastest-growing languages.

Survival analysis uses statistics to calculate time to failure.

Utilize R to uncover hidden patterns in your Big DataAbout This BookPerform computational analyses on Big Data to generate meaningful resultsGet a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the marketWho This Book Is ForThis book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.

DataOps is a new way of delivering data and analytics that is proven to get results.

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.

Advances in Computational Algorithms and Data Analysis offers state of the art  tremendous advances in computational algorithms and data analysis.

This book constitutes the proceedings of the 18th China National Conference on Computational Linguistics, CCL 2019, held in Kunming, China, in October 2019.