Algorithms and methods on complete dense bipartite graph are presented in this document for emerging small communities - websites which mention a common subject. These methods allow finding communities, which would not be found by HITS or CLEVER algorithm.
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
This dissertations presents an algorithm on the webgraph for finding dense bipartite graphs wich represents web-communities.
By performing further steps of the algorithm several levels of communities are recognized which can be related to communites of former levels.
This document deals Web-Graph-Mining where the nodes of the graph are hosts instead of web pages, which leads to a hostgraph.
The power-law for in- and outdegree of hosts is examined and a variant of the copy-model for creating the hostgraph is presented.
{. Schouten, {. Bueno, W. Duivesteijn, and M. Pechenizkiy. Data Mining and Knowledge Discovery, 36 (1):
379--413(January 2022)Funding Information: This research is supported by EDIC project funded by NWO. We thank the EDIC consortium and the ZGT hospital for allowing us to analyse the data from the DIALECT-2 study. We especially thank Niala Den Braber (PhD candidate at Universiteit Twente and researcher internal medicine at ZGT hospital) and prof. dr. Goos Laverman (internist-nephrologist at ZGT hospital) for giving us clinical valuation of our findings. In addition, we thank our colleagues dr. Robert Peharz for giving us useful insights on Markov chains and DBNs and dr. Maryam Tavakol for guiding us towards the MovieLens dataset..
B. Langholz, and D. Richardson. American journal of epidemiology, 171 (3):
377-83(February 2010)5491<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;.