Analysis of large data logs: An application of Poisson sampling on excite web queries

Information Processing and Management

Volumn 38, Issue 4, 2002, Pages 473-490

  Ozmutlu, H Cenk ^a   Spink, Amanda ^b   Ozmutlu, Seda ^a  

^a ULUDAG UNIVERSITY   (Turkey)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Data mining; Large scale in depth data analysis; Poisson sampling; Search engine queries; Web user modeling

Indexed keywords

DATA MINING; DATABASE SYSTEMS; INFORMATION RETRIEVAL; RANDOM PROCESSES; SAMPLING; SEARCH ENGINES;

POISSON SAMPLING; WEB QUERIES;

WORLD WIDE WEB;

EID: 0036643012     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(01)00043-7     Document Type: Article

References (12)

1. How dynamic is the Web?
2. Accessibility of information on the web
3. Time-based web mining of search logs: Implications for efficient operations
4. Searching the web: Survey of excite users
5. Use of query reformulation and relevance feedback by web users
6. Searching the web: The public and their queries
7. An analysis of Internet search engines: Assessment of over 200 search queries
8. Poisson arrivals see time averages
9. The public searching of the web