Title
KnowledgeBased Information Retrieval and Filtering from the Web (The Springer International Series in Engineering and Computer ,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
KnowledgeBased Information Retrieval and Filtering from the Web contains fifteen chapters, contributed by leading international researchers, addressing the matter of information retrieval, filtering and management of the information on the Internet. The research presented deals with the need to find proper solutions for the description of the information found on the Internet, the description of the information consumers need, the algorithms for retrieving documents (and indirectly, the information embedded in them), and the presentation of the information found. The chapters include:Ontological representation of knowledge on the WWW;Information extraction;Information retrieval and administration of distributed documents;Hard and soft modeling based knowledge capture;Summarization of texts found on the WWW;User profiles and personalization for webbased information retrieval system;Information retrieval under constricted bandwidth;Multilingual WWW;Generic hierarchical classification using the singlelink clustering;Clustering of documents on the basis of text fuzzy similarity;Intelligent agents for document categorization and adaptive filtering;Multimedia retrieval and data mining for Ecommerce and Ebusiness;A Webbased approach to competitive intelligence;Learning ontologies for domainspecific information retrieval;An open, decentralized architecture for searching for, and publishing information in distributed systems.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.