DMCA. Copyrighted Work that you can Claim.
Base have 820 524 books.
Search: 


📙 Data Mining for Business Applications by Cao Longbing (auth.), Longbing Cao, Philip S. Yu, Chengqi Zhang, Huaifeng Zhang (eds.) — free pdf


Data Mining for Business Applications presents state-of-the-art data mining research and development related to methodologies, techniques, approaches and successful applications. The contributions of this book mark a paradigm shift from "data-centered pattern mining" to "domain-driven actionable knowledge discovery (AKD)" for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future data mining research and development in the dialogue between academia and business.

Part I centers on developing workable AKD methodologies, including:

    • domain-driven data mining
    • post-processing rules for actions
    • domain-driven customer analytics
    • the role of human intelligence in AKD
    • maximal pattern-based cluster
    • ontology mining

Part II focuses on novel KDD domains and the corresponding techniques, exploring the mining of emergent areas and domains such as:

    • social security data
    • community security data
    • gene sequences
    • mental health information
    • traditional Chinese medicine data
    • cancer related data
    • blog data
    • sentiment information
    • web data
    • procedures
    • moving object trajectories
    • land use mapping
    • higher education data
    • flight scheduling
    • algorithmic asset management

Researchers, practitioners and university students in the areas of data mining and knowledge discovery, knowledge engineering, human-computer interaction, artificial intelligence, intelligent information processing, decision support systems, knowledge management, and KDD project management are sure to find this a practical and effective means of enhancing their understanding of and using data mining in their own projects.



About book:

About file:

  • File size: 11 139 459
  • Format: pdf


Security code:
Download button

Similar books results


Data Mining for Business Applications
Data Mining for Business Applications epub download by Cao Longbing (auth.), Longbing Cao, Philip S. Yu, Chengqi Zhang, Huaifeng Zhang (eds.)

Data Mining for Business Applications presents state-of-the-art data mining research and development related to methodologies, techniques, approaches and successful applications. The contributions of this book mark a paradigm shift from "data-centered pat...

Applied Data Mining for Business and Industry
Applied Data Mining for Business and Industry free pdf by Paolo Giudici, Silvia Figini

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such dat...

Applied Data Mining for Business and Industry, Second Edition
Applied Data Mining for Business and Industry, Second Edition pdf free by Paolo Giudici, Silvia Figini(auth.)

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such dat...

A Practical Guide to Data Mining for Business and Industry
A Practical Guide to Data Mining for Business and Industry pdf free by Andrea Ahlemeyer-Stubbe, Shirley Coleman

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses...

A Practical Guide to Data Mining for Business and Industry
A Practical Guide to Data Mining for Business and Industry free download by Andrea Ahlemeyer-Stubbe, Shirley Coleman

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses...

Data Mining for Biomedical Applications: PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006. Proceedings
Data Mining for Biomedical Applications: PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006. Proceedings free epub by Hon Nian Chua, Wing-Kin Sung, Limsoon Wong (auth.), Jinyan Li, Qiang Yang, Ah-Hwee Tan (eds.)

This book constitutes the refereed proceedings of the International Workshop on Data Mining for Biomedical Applications, BioDM 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006)...

Data Mining for Bioinformatics Applications
Data Mining for Bioinformatics Applications download pdf by He Zengyou

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validatio...

Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery (Wiley Series on Technologies for the Pharmaceutical Industry)
Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery (Wiley Series on Technologies for the Pharmaceutical Industry) free epub by Konstantin V. Balakin

Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and developmentIn the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical ...

Data Mining and Business Intelligence: A Guide to Productivity
Data Mining and Business Intelligence: A Guide to Productivity free download by Stephan Kudyba, Richard Hoptroff

Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of bus...