Data mining

This book discusses various partitioning strategies tailored for traditional machine learning algorithms.

Learn to write SQL queries to select and analyze data, and improve your ability to manipulate data.

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

From the Foreword:"e;[This book] provides a comprehensive overview of the fundamental concepts in healthcare process management as well as some advanced topics in the cutting-edge research of the closely related areas.

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types.

Gaining access to high-quality data is a vital necessity in knowledge-based decision making.

Immersive technology is going to govern the next generation in terms of education, health, military, tourism, and much more.

This thesis focuses on the problem of optimizing the quality of network multimedia services.

This book is a comprehensive introduction to the methods and algorithms of modern data analytics.

This book constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2022, held in Suzhou, China, in November 2022.

In the constant battle between human intelligence and machine intelligence, machines are close to surpassing human intelligence.

Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services.

A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly.

This book constitutes the refereed proceedings of the First International Workshop on Graph-Based Approaches in Information Retrieval, IRonGraphs 2024, held in Glasgow, UK, on March 24, 2024.

This, the 37th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers.

This book constitutes revised papers from the eight International Workshops held at the 16th International Conference on Business Process Management, BPM 2018, in Sydney, Australia, in September 2018:BPI 2018: 14th International Workshop on Business Process Intelligence;BPMS2 2018: 11th Workshop on Social and Human Aspects of Business Process Management;- PODS4H 2018: 1st International Workshop on Process-Oriented Data Science for Healthcare;AI4BPM 2018: 1st International Workshop on Artificial Intelligence for Business Process Management; CCBPM 2018: 1st International Workshop on Emerging Computing Paradigms and Context in Business Process Management;BP-Meet-IoT / PQ 2018: Joint Business Processes Meet the Internet-of-Things and Process Querying Workshop;DeHMiMoP 2018: 1st Declarative/Decision/Hybrid Mining and Modelling for Business Processes Workshop;REBM /EdForum 2018: Joint Requirements Engineering and Business Process Management Workshop and Education ForumThe 45 full papers presented in this volume were carefully reviewed and selected from 90 submissions.

The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Belem do Para, Brazil, during November 18-21, 2024.

This book constitutes the refereed proceedings of the 10th International Conference on Web Reasoning and Rule Systems, RR 2016, held in Aberdeen, Scotland, UK, in September 2016.

This book constitutes the refereed proceedings of the 9th International Conference on Data-Driven Innovation, ICT Innovations 2017, held in Skopje, Macedonia, in September 2017.

This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced.

This three-volume set LNAI 15708-15709-15110 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2025, held in Chongqing, China, during May 11–13, 2025.

Use the power of pandas to solve most complex scientific computing problems with ease.

The two-volume set LNAI 8397 and LNAI 8398 constitutes the refereed proceedings of the 6th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2014, held in Bangkok, Thailand, in April 2014.

This book, written by an international team of prominent authors, gathers the latest developments in mobile technologies for the acquisition, management, analysis and sharing of Volunteered Geographic Information (VGI) in the context of Earth observation.

This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system.

This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms.

This volume presents a selection of research papers on various topics at the interface of statistics and computer science.

This PALO volume constitutes the Proceedingsof the 19th Asia Pacific Symposium on Intelligent and EvolutionarySystems (IES 2015), held in Bangkok, Thailand, November 22-25, 2015.

No detailed description available for "e;Getting Started with DuckDB"e;.

Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams.

Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning, and artificial intelligence for physicists looking to integrate these techniques into their work.

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018.

This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world.

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods.

This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020.

This book constitutes the thoroughly refereed proceedings of the 6th Joint International Semantic Technology Conference, JIST 2016, held in Singapore, Singapore, in November 2016.

This book is about data analytics, including problem definition, data preparation, and data analysis.

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT).

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications.

This book presents Explainable Artificial Intelligence (XAI), which aims at producing explainable models that enable human users to understand and appropriately trust the obtained results.

This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems.

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly.

The LNAI 12299 constitutes the papers of the 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, which will be held online in August 2020.

This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics.

This book introduces the reader to data science using R and the tidyverse.

This book introduces an auto design based optimization for building frames using an artificial neural network (ANN) based Lagrange method and novel genetic algorithm (GA).