Jun Luo

Henry Radamson

Eddy Simoen

Chao Zhao

CMOS Past, Present and Future provides insight from the basics, to the state-of-the-art of CMOS processing and electrical characterization, including the integration of Group IV semiconductors-based photonics. The book goes into the pitfalls and opportunities associated with the use of hetero-epitaxy on silicon with strain engineering and the integration of photonics and high-mobility channels on a silicon platform. It begins with the basic definitions and equations, but extends to present technologies and challenges, creating a roadmap on the origins of the technology and its evolution to the present, along with a vision for future trends. The book examines the challenges and opportunities that materials beyond silicon provide, including a close look at high-k materials and metal gate, strain engineering, channel material and mobility, and contacts. The book's key approach is on characterizations, device processing and electrical measurements. Addresses challenges and opportunities for the use of CMOS Covers the latest methods of strain engineering, materials integration to increase mobility, nano-scaled transistor processing, and integration of CMOS with photonic components Provides a look at the evolution of CMOS technology, including the origins of the technology, current status and future possibilities

CMOS Past, Present and Future

Longbing Cao

James Bailey

Joshua Zhexue Huang

Yun Sing Koh

This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The 42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.

PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers

New Frontiers in Applied Data Mining

Martin J. Liu

This book provides an overview of the brand construction process of manufacturing enterprises in Zhejiang province, China. There are now a number of industry-leading enterprises that are trying to build their own brands and manufacture products of higher quality in Zhejiang. The first chapter focuses on the place branding strategy employed by the Zhejiang Provincial Government in launching the “ZhejiangMade” brand to improve the perception of products made by Zhejiang manufacturing firms and promote them in the domestic and international markets. In the following nine chapters, the editors bring together case studies from nine leading enterprises in Zhejiang, including Baoxiniao, Shuanghuan, Feida, ROBAM, Xinhai, Yinlun, Weixing, Deli and Fotile, providing an analysis of their branding process.

Cases from Zhejiang

China Branding

Takashi Washio

This book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in conjunction with the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), in Kuala Lumpur, Malaysia, May/June 2012. The 12 revised papers presented were carefully reviewed and selected from numerous submissions. DMHM 2012 aimed at providing a common platform for the discussion of challenging issues and potential techniques in this emerging field of data mining for health care management; 3Clust 2012 focused on solving emerging problems such as clustering ensembles, semi-supervised clustering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text datasets to offer to the database community a unified framework for geodata discovery; and DSDM 2012 provided the opportunity for Ph.D. students and junior researchers to discuss their work on data mining foundations, techniques and applications.

PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -- June 1, 2012, Revised Selected Papers

Emerging Trends in Knowledge Discovery and Data Mining

Jun Luo

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