Data mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications.

This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019.

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains.

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020.

Get started using Python in data analysis with this compact practical guide.

This book offers a collection of high-quality, peer-reviewed research papers presented at the International Conference on Intelligent Computing, Communication and Devices (ICCD 2017), discussing all dimensions of intelligent sciences - intelligent computing, intelligent communication, and intelligent devices.

The two-volume set LNCS 10046 and 10047 constitutes the proceedings of the 8th International Conference on Social Informatics, SocInfo 2016, held in Bellevue, WA, USA, in November 2016.

More and more data-driven companies are looking to adopt stream processing and streaming analytics.

This book constitutes the proceedings of the 25th International Conference on Business Information Systems, BIS 2025, which took place in Poznan, Poland, during June 25-27, 2025.

This book constitutes the proceedings of the 22nd International Conference  on Theory and Practice of Digital Libraries, TPDL 2018, held in Porto, Portugal, in September 2018.

This book constitutes the proceedings of the 20th International Conference on Text, Speech, and Dialogue, TSD 2017, held in Prague, CzechRepublic, in August 2017.

Physically Unclonable Functions (PUFs) translate unavoidable variations in certain parameters of materials, waves, or devices into random and unique signals.

This book constitutes the refereed proceedings of the 6th Conference on Artificial Intelligence and Natural Language, AINL 2017, held in St.

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing.

This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation.

Towards Smart World: Homes to Cities Using Internet of Things provides an overview of basic concepts from the rising of machines and communication to IoT for making cities smart, real-time applications domains, related technologies, and their possible solutions for handling relevant challenges.

This book constitutes the refereed post-conference proceedings of the 7th International Conference on Big data Technologies and Applications, BDTA 2016, held in Seoul, South Korea, in November 2016.

These proceedings gather outstanding research papers presented at the Second International Conference on Data Engineering 2015 (DaEng-2015) and offer a consolidated overview of the latest developments in databases, information retrieval, data mining and knowledge management.

Master Oracle SOA Suite 12cDesign, implement, manage, and maintain a highly flexible service-oriented computing infrastructure across your enterprise using the detailed information in this Oracle Press guide.

The "e;big data"e; era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life.

This book constitutes the proceedings of the 17th International Conference on Formal Concept Analysis, ICFCA 2023, which took place in Kassel, Germany, in July 2023.

Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations.

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.

Artificial intelligence touches nearly every part of your day.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science.

The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies.

This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems.

In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation.

This comprehensive volume demonstrates the broad scope of uses for data mining and includes detailed strategies and methodologies for analyzing data from biomedical images, signals, and systems.

Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool.

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019.

This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks.

This book constitutes the refereed proceedings of the 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, which was planned to take place in Ottawa, ON, Canada.

The Fourth Industrial Revolution is being accelerated by the digital twin technological revolution, which converges intelligent technologies and defines the connectivity between physical and digital items.

Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts.

Harnessing the power of technology is one of the key measures of effective leadership.

Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data.

The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare.

Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation.

This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field.

This book constitutes the refereed proceedings of the 23rd Australasian Joint Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.

La verdadera historia desde dentro de Cambridge Analytica y de cómo el Big Data, Trump y Facebook rompieron la democracia y cómo puede volver a pasarCuando Brittany Kaiser, una consultora política novata especializada en derechos humanos y relaciones internacionales, se sentó por primera vez con Alexander Nix, el carismático líder de la nueva empresa de comunicación política Cambridge Analytica, creía que los datos personales —la información precisa e identificable recogida de los smartphones, redes sociales y otros hábitos online— podían ser una fuerza para el bien.

The process of developing predictive models includes many stages.

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis.

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications.

This edited volume focuses on big data implications for computational social science and humanities from management to usage.

This brief presents several new query processing techniques, called complex motion pattern queries, specifically designed for very large spatio-temporal databases of moving objects.