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At once an ironic portrayal of contemporary Korea and an intimate exploration of heartache, alienation, and nostalgia, this collection of seven short stories has earned the author widespread critical acclaim.

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing...

My Korean 2, 2nd Edition is a follow-up to the first volume of My Korean which introduces learners to the Korean alphabet and some everyday situations to help them acquire 'survival' Korean. This book consolidates and extends the work begun in the first volume by helping learners continue to develop their ability to communicate in routine social situations.

Key features include (1) authentic spoken Korean language examples; (2) authentic styles of speech appropriate to each situation; (3) situation dialogues presented in two modes: colour comics and text only mode; (4) grammar...

My Korean 1, 3rd Edition is an introduction to contemporary Korean, with special emphasis on spoken usage for everyday situations. It introduces learners to the Korean alphabet and everyday situations in Korean culture to help them acquire 'survival' Korean.

Key features include (1) authentic spoken Korean language examples; (2) authentic styles of speech appropriate to each situation; (3) situation dialogues presented in two modes: comics and text only mode; (4) grammar explanations in plain English; (5) many types of exercises; and (6) extra learning materials available online...

This book contains valuable studies in data mining from both foundational and practical perspectives. It covers a broad range of subjects, from a conceptual framework of data mining to the role of sample size, as well as many different fields of data mining.