Knowledge Mining

Knowledge Mining PDF Author: Spiros Sirmakessis
Publisher: Springer
ISBN: 3540323945
Category : Computers
Languages : en
Pages : 287

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Book Description
Text mining is an exciting application ?eld and an area of scienti?c - search that is currently under rapid development. It uses techniques from well-established scienti?c ?elds (e. g. data mining, machine learning, infor- tion retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an e?ort to help people gain insight, und- stand and interpret large quantities of (usually) semi-structured and unstr- tured data. Despite the advances made during the last few years, many issues remain unresolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identi?ed, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the ?eld of Text Mining – especially in relation to IT – and whether there still remain areas to be covered. Knowledge Mining draws upon many of the key concepts of knowledge management, data mining and knowledge discovery, meta-analysis and data visualization. Within the context of scienti?c research, knowledge mining is principally concerned with the quantitative synthesis and visualization of - search results and ?ndings. The results of knowledge mining are increased scienti?c understanding along with improvements in research quality and value. Knowledge mining products can be used to highlight research opportunities, assist with the p- sentation of “best” scienti?c evidence, facilitate research portfolio mana- ment, as well as, facilitate policy setting and decision making.

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining PDF Author: Usama M. Fayyad
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 638

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Book Description
Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.

Mining Language

Mining Language PDF Author: Allison Margaret Bigelow
Publisher: UNC Press Books
ISBN: 1469654393
Category : History
Languages : en
Pages : 377

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Book Description
Mineral wealth from the Americas underwrote and undergirded European colonization of the New World; American gold and silver enriched Spain, funded the slave trade, and spurred Spain’s northern European competitors to become Atlantic powers. Building upon works that have narrated this global history of American mining in economic and labor terms, Mining Language is the first book-length study of the technical and scientific vocabularies that miners developed in the sixteenth and seventeenth centuries as they engaged with metallic materials. This language-centric focus enables Allison Bigelow to document the crucial intellectual contributions Indigenous and African miners made to the very engine of European colonialism. By carefully parsing the writings of well-known figures such as Cristóbal Colón and Gonzalo Fernández de Oviedo y Valdés and lesser-known writers such Álvaro Alonso Barba, a Spanish priest who spent most of his life in the Andes, Bigelow uncovers the ways in which Indigenous and African metallurgists aided or resisted imperial mining endeavors, shaped critical scientific practices, and offered imaginative visions of metalwork. Her creative linguistic and visual analyses of archival fragments, images, and texts in languages as diverse as Spanish and Quechua also allow her to reconstruct the processes that led to the silencing of these voices in European print culture.

Handbook of Educational Data Mining

Handbook of Educational Data Mining PDF Author: Cristobal Romero
Publisher: CRC Press
ISBN: 1439804583
Category : Business & Economics
Languages : en
Pages : 528

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Book Description
This handbook provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed. With contributions by well-known researchers from a variety of fields, the book reflects the multidisciplinary nature of the EDM community. It helps education experts understand what types of questions EDM can address and helps data miners understand what types of questions are important to educational design and educational decision making.

Mining Software Specifications

Mining Software Specifications PDF Author: David Lo
Publisher: CRC Press
ISBN: 1439806276
Category : Computers
Languages : en
Pages : 459

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Book Description
An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of sof

Knowledge Discovery from Data Streams

Knowledge Discovery from Data Streams PDF Author: Joao Gama
Publisher: CRC Press
ISBN: 1439826129
Category : Business & Economics
Languages : en
Pages : 256

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Book Description
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents

The Top Ten Algorithms in Data Mining

The Top Ten Algorithms in Data Mining PDF Author: Xindong Wu
Publisher: CRC Press
ISBN: 142008965X
Category : Business & Economics
Languages : en
Pages : 230

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Book Description
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri

Geographic Data Mining and Knowledge Discovery

Geographic Data Mining and Knowledge Discovery PDF Author: Harvey J. Miller
Publisher: CRC Press
ISBN: 1420073982
Category : Computers
Languages : en
Pages : 488

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Book Description
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee

Mining the Web

Mining the Web PDF Author: Soumen Chakrabarti
Publisher: Morgan Kaufmann
ISBN: 1558607544
Category : Computers
Languages : en
Pages : 366

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Book Description
The definitive book on mining the Web from the preeminent authority.

Knowledge Mining Using Intelligent Agents

Knowledge Mining Using Intelligent Agents PDF Author: Satchidananda Dehuri
Publisher: World Scientific
ISBN: 184816386X
Category : Business & Economics
Languages : en
Pages : 325

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Book Description
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.