Data mining

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019).

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software.

The three volume proceedings LNAI 10534 - 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017.

This book contains revised and extended research articles written by prominent researchers, selected from presentations at the International MultiConference of Engineers and Computer Scientists (IMECS 2018) held in Hong Kong, 14-16 March, 2018.

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn librariesKey FeaturesDiscover solutions for feature generation, feature extraction, and feature selectionUncover the end-to-end feature engineering process across continuous, discrete, and unstructured datasetsImplement modern feature extraction techniques using Python's pandas, scikit-learn, SciPy and NumPy librariesBook DescriptionFeature engineering is invaluable for developing and enriching your machine learning models.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility.

The term "e;data"e; being mostly used, experimented, analyzed, and researched, "e;Data Science and its Applications"e; finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc.

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it.

Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest.

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications.

SummaryIntroducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists.

Design Databases with Oracle SQL Developer Data ModelerIn this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2.

This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities.

This book constitutes the refereed proceedings of the 12th International Conference on Persuasive Technology, PERSUASIVE 2017, held in Amsterdam, The Netherlands, in April 2017.

Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-timeKey FeaturesMake a hands-on start in the fields of Big Data, Distributed Technologies and Machine LearningLearn how to design, develop and interpret the results of common Machine Learning algorithmsUncover hidden patterns in your data in order to derive real actionable insights and business valueBook DescriptionEvery person and every organization in the world manages data, whether they realize it or not.

This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead.

This book constitutes the refereed proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2014 held in Munich, Germany, September 2014, in conjunction with DEXA 2014.

Ambient assisted living (AAL) utilizes information and communication technology to empower individuals to maintain an active and independent lifestyle for as long as possible.

Cloud computing has created a shift from the use of physical hardware and locally managed software-enabled platforms to that of virtualized cloud-hosted services.

This book constitutes the refereed proceedings of the 9th International Conference on Model and Data Engineering, MEDI 2019, held in Toulouse, France, in October 2019.

This textbook brings together both new and traditional research methods in Human Computer Interaction (HCI).

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

The two-volume set LNCS 15812-15813 constitutes the thoroughly refereed proceedings of the 7th International Conference on Adaptive Instructional Systems, AIS 2025, held as part of the 27th HCI International Conference on Human-Computer Interaction, HCII 2025, which took place in Gothenburg, Sweden, in June 2025.

This book constitutes the refereed proceedings of the 13th International Conference onModel and Data Engineering, MEDI 2024, held in Naples, Italy, during November 18–20, 2024.

Fully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition is intended for those involved in the design or development of a database system or application.

Finding patterns in massive event streams can be difficult, but learning how to find them doesnt have to be.

SummaryPractical Probabilistic Programming introduces the working programmer to probabilistic programming.

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills necessary to apply them in their own investment strategies.

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea.

Provides a summary of the key developments of a decade of research into the area of data exchange.

This book presents a summary of the multimodal analysis of user-generated multimedia content (UGC).

This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021, in Delhi, India, in May 2021.

Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data.

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023.

This book constitutes the revised selected papers of several workshops which were held in conjunction with the MICAI 2024 International Workshops on Advances in Computational Intelligence, MICAI 2024, held in Tonantzintla, Mexico, during October 21-25, 2024.

Machine learning is an intimidating subject until you know the fundamentals.

This book constitutes the revised selected papers from the 5th IFIP WG 2.

The missing expert-led manual for the AWS ecosystem - go from foundations to building data engineering pipelines effortlesslyPurchase of the print or Kindle book includes a free eBook in the PDF format.

The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018).

This book discusses recent research and applications in intelligent service computing in mobile environments.

This book is the first comprehensive guide to the intersection of data governance and machine learning (ML) projects.

The three volumes LNCS 10820, 10821, and 10822 constitute the thoroughly refereed proceedings of the 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2018, held in Tel Aviv, Israel, in April/May 2018.

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector.

This book constitutes the proceedings of the 22nd Annual Conference on Research in Computational Molecular Biology, RECOMB 2018, held in Paris, France, in April 2018.

This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations.

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software.