![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Counting Edges and Triangles in Online Social Networks via Random Walk
Online social network (OSN) analysis has attracted much attention in recent years. Edge and triangle counts are both fundamental properties in OSNs. However, for many OSNs, one can only access parts of the net...
-
Chapter and Conference Paper
Mining N-most Interesting Itemsets
Previous methods on mining association rules require users to input a minimum support threshold. However, there can be too many or too few resulting rules if the threshold is set inappropriately. It is difficu...
-
Chapter and Conference Paper
Clustering Massive Text Data Streams by Semantic Smoothing Model
Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organization and topic detection and tracing e...
-
Chapter and Conference Paper
Finding Time Series Discords Based on Haar Transform
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be impossible to elicit from a doma...
-
Chapter and Conference Paper
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view of k-anonymity is clustering with a constr...
-
Chapter and Conference Paper
ISM: Item Selection for Marketing with Cross-Selling Considerations
Many different algorithms are studied on association rules in the literature of data mining. Some researchers are now focusing on the application of association rules. In this paper, we will study one of the a...
-
Chapter and Conference Paper
Mining Frequent Episodes for Relating Financial Events and Stock Trends
It is expected that stock prices can be affected by the local and overseas political and economic events. We extract events from the financial news of Chinese local newspapers which are available on the web, t...
-
Chapter and Conference Paper
Enhancing Effectiveness of Outlier Detections for Low Density Patterns
Outlier detection is concerned with discovering exceptional behaviors of objects in data sets. It is becoming a growingly useful tool in applications such as credit card fraud detection, discovering criminal b...
-
Chapter and Conference Paper
Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs
Although efficient identification of user access sessions from very large web logs is an unavoidable data preparation task for the success of higher level web log mining, little attention has been paid to algo...