Home > Computing and Information Technology > Databases > Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings(Information Systems and Applications, incl. Internet/Web, and HCI)
37%
Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings(Information Systems and Applications, incl. Internet/Web, and HCI)

Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings(Information Systems and Applications, incl. Internet/Web, and HCI)

          
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

This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.

Table of Contents:
Performance.- Bounding Box Representation of Co-Location Instances for L-infinity Induced Distance Measure.- Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench.- Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL.- Selecting Subexpressions to Materialize for Dynamic Large-scale Workloads.- Prediction Techniques.- A Chain Composite Item Recommender for Lifelong Pathways.- Health Analytics on COVID-19 Data with Few-Shot Learning.- Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory.- Knowledge Representation.- Universal Storage Adaption for Distributed RDF-triple Stores.- RDF Data Management is an Analytical Market, not a Transaction one.- Document Ranking for Curated Document Databases using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank.- Advanced Analytics.- Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models.- Spark based Text Clustering Method using Hashing.- Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries.- Explainability in Irony Detection.- Efficient Graph Analytics in Python for Large-scale Data Science.- Machine Learning and Deep Learning.- A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data.- ODCA: an Outlier Detection Approach to Deal with Correlated Attributes.- A Novel Neurofuzzy Approach for Semantic Similarity Measurement.- Data Warehouse Processes and Maintenance.- Integrated Process Data and Organizational Data Analysis for Business Process Improvement.- Smart-Views: Decentralized OLAP View Management using Blockchains.- A workload-aware change data capture framework for data warehousing.- Machine Learning and Analtyics.- Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification.- Filter-based Feature Selection Methods for Industrial Sensor Data: A Review.- A Declarative Framework for mining Top-k High Utility Itemsets.- Multi-label Feature Selection Algorithm via Maximizing Label Correlation-aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization.- Mining Partially-Ordered Episode Rules with the Head Support.- Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies.


Best Sellers


Product Details
  • ISBN-13: 9783030865337
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 282
  • Returnable: Y
  • Series Title: Information Systems and Applications, incl. Internet/Web, and HCI
  • Sub Title: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings
  • Width: 155 mm
  • ISBN-10: 3030865339
  • Publisher Date: 05 Sep 2021
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: 12925 Lecture Notes in Computer Science
  • Spine Width: 16 mm
  • Weight: 421 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
Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings(Information Systems and Applications, incl. Internet/Web, and HCI)
Springer Nature Switzerland AG -
Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings(Information Systems and Applications, incl. Internet/Web, and HCI)
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.

Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings(Information Systems and Applications, incl. Internet/Web, and HCI)

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!
    ASK VIDYA