Advanced Studies in Classification and Data Science
Home > Advanced Studies in Classification and Data Science
Advanced Studies in Classification and Data Science

Advanced Studies in Classification and Data Science


     0     
5
4
3
2
1



International Edition


About the Book

Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment.- Chapter 2. Multi-citeria classifications in regional development modelling.- Chapter 3. Non-parametric latent modeling and network clustering.- Chapter 4. Efficient, Geometrically-adaptive Techniques for Multiscale Gaussian-kernel SVM Classification.- Chapter 5. Random forests followed by computed ABC analysis as a feature selection method for machine-learning in biomedical data.- Chapter 6. Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center.- Chapter 7. Supervised Nested Algorithm for Classification based on K-means.- Chapter 8. Using Classification of Regions Based on the Complexity of the Global Progress Indices for Supporting Development in Competitiveness.- Chapter 9. Estimation Methods Based on Weighting Clusters.- Chapter 10. Five Strategies for Accommodating Overdispersion in Simple Correspondence Analysis.- Chapter 11. From Joint Graphical Display to Bi-Modal Clustering: [2] Dual Space Versus Total Space.- Chapter 12. Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping.- Chapter 13. From Joint Graphical Display to Bi-Modal Clustering: [1] A Giant Leap in Quantication Theory.- Chapter 14. External Logistic Biplots for Mixed Types of Data.- Chapter 15. Functional clustering approach for analysis of concentration.- Chapter 16. Generalized additive models for the detection of copy number variations (CNVs) using multi gene panel sequencing data.- Chapter 17. Variable selection for classification of multivariate functional data.- Chapter 18. Initial value selection for the alternating least squares algorithm.- Chapter 19. Inference for General MANOVA Based on ANOVA-Type Statistic.- Chapter 20. How To Cross the River? - New 'Distance'Measures.- Chapter 21. New Statistical Matching Method Using Multinomial Logistic Regression Model.- Chapter 22. Constructing graphical models for multi-source data: Sparse Network And Component analysis.- Chapter 23. Understanding Malvestuto's normalized mutual information.- Chapter 24. Understanding the Rand index.- Chapter 25. Layered Multivariate Regression with Its Applications.- Chapter 26. An exploratory study on the clumpiness measure of intertransaction times: how is it useful for customer relationship management?.- Chapter 27. Data Quality Management of Chain Stores based on Outlier Detection.- Chapter 28. Analysis of expenditure pattens of virtual marriage households consisting of working couples synthesized by statistical matching method q.- Chapter 29. The Effects of Natural Disasters on Household Income and Poverty in Rural Vietnam: An Analysis Using the Vietnam Household Living Standards Survey.- Chapter 30. Generalizability of relationship between number of tweets about and sales of new beverage products.- Chapter 31. Cluster Distance-Based Regression.- Chapter 32. Bayesian network analysis of fashion behaviour.- Chapter 33. Determining the Similarity Index in Electoral Behavior Analysis: An Issue Voting Behavioral: Mapping.- Chapter 34. Well-Being Measures.- Chapter 35. The Relationship between Household Assets and Choice to Work: Evidence from Japanese Official Microdata.- Chapter 36. Visualization and Spatial Statistical Analysis for Vietnam Household Living Standard Survey.- Chapter 37. Changes in the Gendered Division of Labor and Women's Economic Contributions within Japanese Couples.- Chapter 38. Employment structures vs. educational capital in the European Union regions.- Chapter 39. The IPUMS Approach to Harmonizing the World's Population Census Data.- Chapter 40. A Supervised Multiclass Classifieras an Autocoding System for the Family Income and Expenditure Survey.-
About the Author:

Tadashi Imaizumi, School of Management & Information Sciences, Tama University, Tokyo, Japan

Akinori Okada, Rikkyo University, Toshima-ku, Japan

Sadaaki Miyamoto, University of Tsukuba, Ibaraki, Japan

Fumitake Sakaori, Department of Mathematics, Chuo University, Tokyo, Japan

Yoshiro Yamamoto, Department of Mathematics, Tokai University, Kanagawa, Japan

Maurizio Vichi, Department of Statistical Sciences, Sapienza University of Rome, Roma RM, Italy


Best Sellers



Product Details
  • ISBN-13: 9789811533105
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 524
  • Series Title: Studies in Classification, Data Analysis, and Knowledge Orga
  • Weight: 793 gr
  • ISBN-10: 9811533105
  • Publisher Date: 08 Nov 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 28 mm
  • Width: 156 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Advanced Studies in Classification and Data Science
Springer -
Advanced Studies in Classification and Data Science
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Advanced Studies in Classification and Data Science

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!