Home > Computer & Internet > Computer science > Artificial intelligence > Advanced Data Mining and Applications: 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
37%
Advanced Data Mining and Applications: 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I

Advanced Data Mining and Applications: 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I

          
5
4
3
2
1

Available


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Quantity:
Add to Wishlist

About the Book

Opinion Mining.- Mining E-Commerce Feedback Comments for Dimension Rating Profiles.- Generating Domain-Specific Sentiment Lexicons for Opinion Mining.- Effective Comment Sentence Recognition for Feature-based Opinion Mining.- Exploiting Co-occurrence Opinion Words for Semi-supervised Sentiment Classification.- Behavior Mining.- HN-Sim: A Structural Similarity Measure over Object-Behavior Networks.- Community Based User Behavior Analysis on Daily Mobile Internet Usage.- Stream Mining.- Tracking Drift Types in Changing Data Streams.- Continuously Extracting High-quality Representative Set from Massive Data Streams.- Change Itemset Mining in Data Streams.- Sequential Data Mining.- TKS: Efficient Mining of Top-K Sequential Patterns.- When Optimization is Just an Illusion.- Accurate and fast dynamic time warping.- Online Detecting Spreading Events with the Spatio-temporal Relationship in Water Distribution Networks.- MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns.- Mining Maximal Sequential Patterns without Candidate Maintenance.- Web Mining.- Improved Slope One Collaborative Filtering Predictor Using Fuzzy Clustering.- Towards Building Virtual Vocabularies in the Semantic Web.- Web Mining Accelerated with In-Memory and Column Store Technology.- Image Mining.- Constructing a novel pos-neg manifold for global-based image classification.- 3-D MRI Brain Scan Feature Classification Using an Oct-tree Representation.- Biometric Template Protection Based on Biometric Certificate and Fuzzy Fingerprint Vault.- A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery.- Mixed-Norm Regression for Visual Classification.- Research on Map Matching Based on Hidden Markov Model.- Text Mining.- A Rule-Based Named-Entity Recognition for Malay Articles.- Small is Powerful! Towards a Refinedly Enriched Ontology by Careful Pruning and Trimming.- Refine the Corpora Based on Document Manifold.- Social Network Mining.- Online Friends Recommendation based on Geographic Trajectories and Social Relations.- The Spontaneous Behavior in Extreme Events: A Clustering-based Quantitative Analysis.- Restoring: A Greedy Heuristic Approach Based on Neighborhood for Correlation Clustering.- A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks.- Tree-based Mining for Discovering Patterns of Reposting Behavior in Microblog.- An Improved Parallel Hybrid Seed Expansion (PHSE) Method for Detecting Highly Overlapping Communities in Social Networks.- A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging.- An Energy Model for Network Community Structure Detection.- A Label Propagation-based Algorithm for Community Discovery in Online Social Networks.- Mining Twitter Data for Potential Drug Effects.- Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging.- Classification.- Graph based Feature Augmentation for Short and Sparse Text Classification.- Exploring Deep Belief Nets to Detect and Categorize Chinese Entities.- Extracting Novel Features for E-commerce Page Quality Classification.- Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification.- Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming.- Automatic Labeling of Forums using Bloom's Taxonomy.- Classifying Papers from Different Computer Science Conferences.- Vertex Unique Labelled Subgraph Mining for Vertex Label Classification.- A Similarity-Based Grouping Method for Molecular Docking in Distributed System.- A Bag-of-Tones Model with MFCC Features for Musical Genre Classification.- The GEPSO-Classification Algorithm.


Best Sellers



Product Details
  • ISBN-13: 9783642539138
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 588
  • Series Title: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
  • Sub Title: 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
  • Width: 156 mm
  • ISBN-10: 3642539130
  • Publisher Date: 07 Jan 2014
  • Depth: 33
  • Language: English
  • Returnable: N
  • Spine Width: 31 mm
  • Weight: 847 gr


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
Advanced Data Mining and Applications: 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG -
Advanced Data Mining and Applications: 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
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 Data Mining and Applications: 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I

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!