Learn IT - Books tags mining

Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia Conference, PAKDD 2011

Springer, 2011

PAKDD has been recognized as a major international conference in the areas of data mining (DM) and knowledge discovery in databases (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas...

Testing Code Security

Auerbach Publications, 2007

The huge proliferation of security vulnerability exploits, worms, and viruses place an incredible drain on both cost and confidence for manufacturers and consumers. The release of trustworthy code requires a specific set of skills and techniques, but this information is often dispersed and decentralized, encrypted in its own jargon and...

Multi-Relational Data Mining: Volume 145 Frontiers in Artificial Intelligence and Applications

IOS Press, 2006

This thesis is concerned with Data Mining: extracting useful insights from large and detailed collections of data. With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, this subject has become of increasing importance. This interest has inspired a rapidly maturing research field...

Digital Document Processing: Major Directions and Recent Advances (Advances in Pattern Recognition)

Springer, 2006

In this book, all the major and frontier topics in the field of document analysis are brought together into a single volume creating a unique reference source.

Highlights include:

- Document structure analysis followed by OCR of Japanese, Tibetan and Indian printed scripts.

- Online and offline handwritten text recognition...

Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)

IGI Global, 2008

Data warehousing and OLAP (online analytical processing) technologies have gained a widespread acceptance since the 90’s as a support for decision-making. A data warehouse is a collection of subject-oriented, integrated, consolidated, time-varying, and non-volatile data (Kimball, 1996; Inmon, 1996). It is manipulated through OLAP tools, which...

Knowledge Discovery from Sensor Data (Industrial Innovation)

CRC Press, 2008

Addressing the issues challenging the sensor community, this book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. Illustrated with case studies, it discusses the challenges and requirements for sensor data-based knowledge discovery solutions in high-priority application. The...

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science)

Springer, 2011

This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, R.S.F.D.Gr.C. 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83...

Getting Started With SAS Enterprise Miner 5.2

SAS Institute, 2006

SAS defines data mining as the process of uncovering hidden patterns in large amounts of data. Many industries use data mining to address business problems and opportunities such as fraud detection, risk and affinity analyses, database marketing, householding, customer churn, bankruptcy prediction, and...

Knowledge Mining: Proceedings of the NEMIS 2004 Final Conference

Springer, 2005

This book contains the papers presented during the 3rd International Workshop on Text Mining and its Applications held in Athens, Greece. This workshop is the final event of the activities of a network of excellence in the area of text mining and its applications. Knowledge Mining includes contributions in the areas of: Document processing,...

Knowledge Integration: The Practice of Knowledge Management in Small and Medium Enterprises

Physica-Verlag, 2005

The ability to manage knowledge is relevant for millions of small and medium sized enterprises (SMEs) that operate in high-tech environments. They strongly depend on external knowledge about customers, technologies, and competitors because, as opposed to large companies, they have limited internal knowledge resources and little power to control...

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)

Springer, 2011

The rapid growth of the Web in the past two decades has made it the largest publicly accessible data source in the world. Web mining aims to discover useful information or knowledge from Web hyperlinks, page contents, and usage logs. Based on the primary kinds of data used in the mining process, Web mining tasks can be categorized...

Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners (Wiley and SAS Business Series)

John Wiley & Sons, 2014

With big data analytics comes big insights intoprofitability

Big data is big business. But having the data and thecomputational power to process it isn't nearly enough to producemeaningful results. Big Data, Data Mining, and Machine Learning:Value Creation for Business Leaders and Practitioners is acomplete...

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