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With the recent ?ourishing research activities on Web search and mining, social networkanalysis, informationnetworkanalysis, informationretrieval, linkana- sis, andstructuraldatamining, researchonlinkmininghasbeenrapidlygrowing, forminganew?eldofdatamining. Traditionaldataminingfocuseson ?at or isolated datainwhicheachdata objectisrepresentedasanindependentattributevector. However, manyreal-world data sets are inter-connected, much richer in structure, involving objects of h- erogeneoustypesandcomplexlinks. Hence, thestudyoflinkminingwillhavea...

The School Psychology Internship is intended to support both doctoral and graduate-level interns and their supervisors (both field and university) in navigating the internship process. Emphasis is placed on the idea that the internship year is a dynamic and formative journey and that interns and supervisors both must be active planners, coordinators, and shapers of the experience. This thoroughly updated 2nd Edition contains an array of helpful resources such as evaluation tools, best practice guidelines, added coverage on doctoral-level training, and sample forms along with all new...

Across the Revolutionary Divide: Russia and the USSR 1861-1945 offers a broad interpretive account of Russian history from the emancipation of the serfs to the end of World War II.

• Provides a coherent overview of Russia's development from 1861 through to 1945
• Reflects the latest scholarship by taking a thematic approach to Russian history and bridging the 'revolutionary divide' of 1917
• Covers political, economic, cultural, and everyday life issues during a period of major changes in Russian history
• Addresses throughout the diversity of national...

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 software systems. Experts in the field illustrate how to apply state-of-the-art data mining and machine learning techniques to address software engineering concerns. In the first set of chapters, the book introduces a number of studies on...