Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 690 Ft GLS point 1 190 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Labeling Anonymous Datasets

Name: Labeling Anonymous Datasets
Brand: LAP Lambert Academic Publishing
SKU: 06856508
Price: 16880 HUF
Availability: InStock
Author: Emdad Ahmed
ISBN: 9783659260568

Post Processing Wrapper Generated Tables for labeling Anonymous Datasets

Emdad Ahmed

Language

English

Book Paperback

Libristo code: 06856508

Publishers LAP Lambert Academic Publishing, November 2011

A large number of wrappers generate tables without column names for human consumption because the me... Full description

Libristo code: 06856508

116 b

16 880 Ft

In stock at our supplier Shipping in 5-8 days

Up to 30 days for returns

Customers also purchased

Implementierung eines QM-Systems Eva-Maria Gumpenberger

Paperback

21 151 Ft

Ski 65+ skiing for elderly Daniel Holnsteiner

Paperback

17 625 Ft

Sonuncu Sonbahar Pinar Kür

Paperback

5 801 Ft

Verirrung und Vergänglichkeit des Individuums Peter Gottwald

Paperback

6 882 Ft

FISIOLOGIA ENDOCRINA JACOME

Book

18 195 Ft

Sarudza van Ruiten

Paperback

5 231 Ft

Caravaggio LONGHI

Paperback

9 373 Ft

Geschichtsforschung und Geschichtsphilosophie Ernst Bernheim

Paperback

7 259 Ft

Fumigados Percy Betanzos Ocampo

Paperback

16 880 Ft

Kundenindividuelle Massenproduktion Sascha Grötzner

Paperback

24 313 Ft

Biomecanique 3D de la Colonne Cervicale Walid Salem

Paperback

17 873 Ft

A large number of wrappers generate tables without column names for human consumption because the meaning of the columns are apparent from the context and easy for humans to understand, but in emerging applications, labels are needed for autonomous assignment and schema mapping where machine tries to understand the tables. Autonomous label assignment is critical in volume data processing where ad hoc mediation, extraction and querying is involved. We propose an algorithm Lads for Labeling Anonymous Datasets, which can holistically label/annotate tabularWeb document. The algorithm has been tested on anonymous datasets from a number of sites, yielding very promising results.