Data mining

Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions.

This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.

This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.

This book constitutes the refereed proceedings of the 22nd International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2026, held in Bedlewo, Poland, during April 7–10, 2026.

This book constitutes the proceedings of several workshops which were held in conjunction with the MICAI 2025 International Workshops on Advances in Computational Intelligence, MICAI 2025, held in Guanajuato, Mexico, during November 3–7, 2025.

This book constitutes the refereed proceedings of the 22nd International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2026, held in Bedlewo, Poland, during April 7–10, 2026.

This book constitutes the proceedings of several workshops which were held in conjunction with the MICAI 2025 International Workshops on Advances in Computational Intelligence, MICAI 2025, held in Guanajuato, Mexico, during November 3–7, 2025.

Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP).

Machine learning and data mining are inseparably connected with uncertainty.

Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP).

In order to exchange knowledge, humans need to share a common lexicon of words as well as to access the world models underlying that lexicon.

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database.

Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form.

"e;Linguistic Decision Making: Theory and Methods"e; is the first monograph which mainly deals with the interdisciplinary subject of computing with words, information fusion and decision analysis.

The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity.

"e;Incomplete Information System and Rough Set Theory: Models and Attribute Reductions"e; covers theoretical study of generalizations of rough set model in various incomplete information systems.

This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making.

This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information.

For decades experiments conducted on space stations like MIR and the ISS have been gathering data in many fields of research in the natural sciences, medicine and engineering.

Swamy Laxminarayan was an outstanding researcher active in many diverse fields of science and technology.

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics.

Mohamed Medhat Gaber "e;It is not my aim to surprise or shock you - but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create.

The technologies of mobile communications and ubiquitous computing are p- vading our society.

The rapid growth of the Web in the last decade makes it the largest p- licly accessible data source in the world.

Modern terrorist networks pose an unprecedented threat to international security.

The second, revised edition of this book was suggested by the impressive sales of the first edition.

Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science.

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Community structure is a salient structural characteristic of many real-world networks.

The four-volume set LNCS 16483-16486 constitutes the refereed conference proceedings of the 48th European Conference on Information Retrieval, ECIR 2026, held in Delft, The Netherlands, during March 29–April 2, 2026.

Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms.

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines.

Following the increase in of the information available on the Web, the diversity of its users and the complexity of Web applications, researchers started developing adaptive Web systems that tailored their appearance and behavior to each individual user or user group.

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it.

This state-of-the-art survey offers a renewed and refreshing focus on the progress in evolutionary computation, in neural networks, and in fuzzy systems.

Conceptual modeling represents a recent approach to creating knowledge.

The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade.

Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.

The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics.

One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information.

* Semantic caching * Data warehousing and semantic data mining * Spatial, temporal, multimedia and multimodal semantics * Semantics in data visualization * Semantic services for mobile users * Supporting tools * Applications of semantic-driven approaches These topics are to be understood as specifically related to semantic issues.

The all pervasive web is influencing all aspects of human endeavour.

This journal subline serves as a forum for stimulating and disseminating innovative research ideas, theories, emerging technologies, empirical investigations, state-of-the-art methods, and tools in all different genres of edutainment, such as game-based learning and serious games, interactive storytelling, virtual learning environments, VR-based education, and related fields.