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20122018
most citedDigging Deeper into Deep Web Databases by Breaking Through the Top-k Barrier

4 citations · 9 across the 5 of their papers we have counts for

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cs.DB2018

QR2: A Third-party Query Reranking Service Over Web Databases

Yeshwanth D. Gunasekaran, Abolfazl Asudeh, Sona Hasani +3

The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, i…

cs.DB2016

HDBSCAN: Density based Clustering over Location Based Services

Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim +3

Location Based Services (LBS) have become extremely popular and used by millions of users. Popular LBS run the entire gamut from mapping services (such as Google Maps) to restauran…

cs.DB20151 cited

Aggregate Estimations over Location Based Services

Weimo Liu, Md Farhadur Rahman, Saravanan Thirumuruganathan +2

Location based services (LBS) have become very popular in recent years. They range from map services (e.g., Google Maps) that store geographic locations of points of interests, to…

cs.DB20124 cited

Digging Deeper into Deep Web Databases by Breaking Through the Top-k Barrier

Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

A large number of web databases are only accessible through proprietary form-like interfaces which require users to query the system by entering desired values for a few attributes…

cs.DB20124 cited

Optimal Algorithms for Crawling a Hidden Database in the Web

Cheng Sheng, Nan Zhang, Yufei Tao +1

A hidden database refers to a dataset that an organization makes accessible on the web by allowing users to issue queries through a search interface. In other words, data acquisiti…