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Web Data Mining and Analysis

TopicLeading institutions, researchers & key papers

Web Data Mining and Analysis is a topic indexed in ScholarIQ from OpenAlex.

What is known about Web Data Mining and Analysis?

ScholarIQrecord summary

This cluster of papers focuses on techniques and technologies for extracting structured data from web pages, including web crawling, automatic wrapper generation, page segmentation, and mining data records. It also covers topics related to the hidden web, information retrieval, and content adaptation for different devices.

How many works does Web Data Mining and Analysis have?

ScholarIQindexed works

Web Data Mining and Analysis has 36 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Web Data Mining and Analysis?

ScholarIQopenalex

The OpenAlex for Web Data Mining and Analysis is on the source record.

What are the most-cited papers on Web Data Mining and Analysis?

ScholarIQmost cited works
An exploratory study of Google Scholar
Philipp Mayr, Anne‐Kathrin Walter
Online Information Review. 200799 CitationsOPEN ACCESS
Exploring the academic invisible web
Dirk Lewandowski, Philipp Mayr
Library Hi Tech. 200662 CitationsOPEN ACCESS
JRC: A Job Post and Resume Classification System for Online Recruitment
Abeer Zaroor, Mohammed Maree, Muath Sabha
201740 Citations
A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents
Norman Meuschke, Apurva Jagdale, Timo Spinde, Jelena Mitrović, Béla Gipp
Lecture notes in computer science. 202323 CitationsOPEN ACCESS
Enterprise Collaboration Framework for Managing, Advancing and Unifying the Functionality of Multiple Cloud-Based Services with the Help of a Graph API
Michael Petychakis, Iosif Alvertis, Evmorfia Biliri, Romanos Tsouroplis, Fenareti Lampathaki, Dimitris Askounis
Lecture notes in computer science. 20148 CitationsOPEN ACCESS

Where is Web Data Mining and Analysis research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Web Data Mining and Analysis is open access?

ScholarIQopen access share
75%OPEN ACCESS
Gold
0%
Green
50%
Hybrid
0%
Bronze
25%
Closed
25%

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