TKS: Efficient Mining of Top-K Sequential Patterns

First Page		Document Content
Date: 2014-01-21 20:37:57 Formal sciences Data analysis Algorithm Spam Science GSP Algorithm Internet Computing Data mining		TKS: Efficient Mining of Top-K Sequential Patterns Add to Reading List Source URL: www.philippe-fournier-viger.com Download Document from Source Website File Size: 747,14 KB Share Document on Facebook

	Click Trajectories: End-to-End Analysis of the Spam Value Chain DocID: 1xVUj - View Document
	Effect of Spam on Hashtag Recommendation for Tweets Surendra Sedhai Aixin Sun Nanyang Technological University, Nanyang Avenue, Singapore DocID: 1xVU9 - View Document
	Can One Tamper with the Sample API? - Toward Neutralizing Bias from Spam and Bot Content Fred Morstatter, Harsh Dani, Justin Sampson, and Huan Liu Arizona State University, Tempe, AZ, USA {fred.morstatter, harsh.dani, j DocID: 1xUgz - View Document
	PDF Document DocID: 1xyjp - View Document
	DOC Document DocID: 1xsO0 - View Document