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Automating the Design of Data Mining Algorithms

This book proposes a different goal for evolutionary algorithms in data mining: to automate the design of a data mining algorithm, rather than just optimize its parameters.

Advances in Knowledge Discovery and Data Mining

22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in ...

New Frontiers in Applied Data Mining

PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2010. Revised Selected Papers

This book constitutes the proceedings of the PAKDD 2009 International Workshops on New Frontiers in Applied Data Mining, held in Bangkok, Thailand in April 2010.

Advances in Knowledge Discovery and Data Mining

22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

Advances in Knowledge Discovery and Data Mining

5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001.

New Frontiers in Applied Data Mining

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

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.

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 ...

Advances on Data Mining: Applications and Theoretical Aspects

11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011, Proceedings

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing, data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011.

Advanced Data Mining and Applications

7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011.

Capital Budgeting Under Conditions of Uncertainty

The business environment, particularly after the continuing oil crises of the seventies, can be characterized as evolving rapidly in complex and often unpre dictable ways. Such things as high interest and inflation rates, fluctuating ex change rates, volatile commodity markets, and increasing political turmoil have led to a situation in which explicit consideration of environmental dynamics is becoming much more important for successful business planning than was true in the past. Companies are finding that it is no longer possible to conduct "busi ness as usual" under these changing circumstances. Rather, decision makers are having to be more cognizant of the many sources of uncertainty that could have serious impacts on the continued prosperity of the firm, as well as of actions that can be taken so that the company can thrive in spite of these greater uncertainties. Businesses have responded to these challenges by giving more thorough con sideration to strategic issues. Whereas in the past the steady progression of mar kets and technology was taken for granted, the uncertainties associated with increased worldwide competition, as well as with other exogenous factors, have vii viii INTRODUCTION forced companies to think more about flexibility. This involves not only how best to exploit profitable current options, but also how to position themselves at present to be able to respond appropriately to threats and opportunities as they arise in the future. Unfortunately, in this redirection of outlook, the fmance profession has not kept pace.

The business environment, particularly after the continuing oil crises of the seventies, can be characterized as evolving rapidly in complex and often unpre dictable ways.

Corporate Governance, Capital Markets, and Capital Budgeting

An Integrated Approach

The primary contribution of this book is to integrate the important disciplines which simultaneously impact the investment appraisal process. The book presents a study that develops a new approach to investment appraisal which uses a multiple objective linear programming (MOLP) model to integrate the selected disciplines which include capital markets, corporate governance and capital budgeting. The research covers two case studies, one in the e-commerce sector and another in the airline industry in which the above disciplines are integrated. Readers from the areas of corporate governance, regulation, and accounting would find the survey of different approaches and the new integrated optimization approach particularly useful. ​

Other significant economic issues that impact on capital budgeting are discussed
in the next section. 1.6 Capital Budgeting, Regulation, Capital Markets and
Accounting Practices 1.6.1 Capital Budgeting and Regulation Regulation in
capital ...