Data mining

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.

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.

Heterogeneous object modelling is a new and quickly developing research area.

Papers were invited based on their quality, relevance and significance, and the - ability of extending their results.

The need for flexibility and globalization forces enterprises to decentralize their activities and continuously (re)structure their networks of relationships regarding both their productive "e;supply chains"e; and their design and innovation processes.

For many years Leonard Bolc has played an important role in the Polish computer science community.

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.

This book constitutes the refereed proceedings of the 22nd International Conference on Web Information Systems and Applications, WISA 2025, held in Xi'an, China, during October 31 - November 2, 2025.

This book constitutes the refereed proceedings of the 22nd International Conference on Web Information Systems and Applications, WISA 2025, held in Xi'an, China, during October 31 - November 2, 2025.

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace.

Iusethetermlogicalandrelationallearning torefertothesub?

The Dagstuhl Seminar 05151 "e;Annotating, Extracting and Reasoning about Time and Events"e; took place April 10-15, 2005 at the International Conference and Research Center (IBFI), Schloss Dagstuhl, Germany.

In many real-world problems, rare categories (minority classes) play essential roles despite their extreme scarcity.

Research on multi-agent systems has provided a promising technology for implementing cognitive intelligent non-playing characters.

The application of formal methods to security protocol analysis has attracted increasing attention in the past two decades, and recently has been sh- ing signs of new maturity and consolidation.

VolumeVIIIoftheTransactions on Rough Sets (TRS)containsa widespectrum of contributions to the theory and applications of rough sets.

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability.

Victor R.

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

The Semantic Web aims at enriching the existing Web with meta-data and processing methods so as to provide web-based systems with advanced capabilities, in particular with context awareness and decision support.

The 13th issue of the Transactions on Computational Science journal consists of two parts.

Knowledge discovery in ubiquitous environments is an emerging area of research at the intersection of the two major challenges of highly distributed and mobile systems and advanced knowledge discovery systems.

For many years Esko Ukkonen has played a major role in the advancement of computer science in Finland.

The objective of this state-of-the-art survey is to give a coherent overview of the main topics and results achieved by the Network of Excellence REWERSE on 'Reasoning on the Web', funded by the European Commission and Switzerland within the '6th Framework Programme' (FP6), from 2004 to 2008.

Similarity-based learning methods have a great potential as an intuitive and ?

This volume serves as the post-conference proceedings for the Second GeoSensor Networks Conference that was held in Boston, Massachusetts in October 2006.

This book systematically and comprehensively explores and discusses the theory and technology of big data analysis.

This book systematically and comprehensively explores and discusses the theory and technology of big data analysis.

The four-volume set LNCS constitutes the refereed proceedings of the 9th International Joint Conference on Web and Big Data, APWeb-WAIM 2025, held in Shenyang, China, during August 28–30, 2025.