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Reference Work Entry In depth
Query by Humming
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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...
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Living Reference Work Entry In depth
Query by Humming
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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...
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Reference Work Entry In depth
Query by Humming
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Chapter and Conference Paper
Workshop Organizers’ Message
International Workshop on Privacy-Preserving Data Analysis (PPDA) 2009 took place at Brisbane, Australia on 21st April, 2009. There were two sessions for this workshop with 2 paper presentations in the first s...
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Chapter
Privacy-Preserving Data Stream Classification
In a wide range of applications, multiple data streams need to be examined together in order to discover trends or patterns existing across several data streams. One common practice is to redirect all data str...
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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...
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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...
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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...
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Chapter and Conference Paper
Discovering Temporal Patterns for Interval-based Events
In many daily transactions, the time when an event takes place is known and stored in databases. Examples range from sales records, stock exchange, patient records, to scientific databases in geophysics and as...