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» Evaluating algorithms that learn from data streams
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WWW
2005
ACM
16 years 4 months ago
Duplicate detection in click streams
We consider the problem of finding duplicates in data streams. Duplicate detection in data streams is utilized in various applications including fraud detection. We develop a solu...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
ICS
2007
Tsinghua U.
15 years 10 months ago
Tradeoff between data-, instruction-, and thread-level parallelism in stream processors
This paper explores the scalability of the Stream Processor architecture along the instruction-, data-, and thread-level parallelism dimensions. We develop detailed VLSI-cost and ...
Jung Ho Ahn, Mattan Erez, William J. Dally
222
Voted
VLDB
2007
ACM
161views Database» more  VLDB 2007»
16 years 3 months ago
Proof-Infused Streams: Enabling Authentication of Sliding Window Queries On Streams
As computer systems are essential components of many critical commercial services, the need for secure online transactions is now becoming evident. The demand for such application...
Feifei Li, Ke Yi, Marios Hadjieleftheriou, George ...
SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
16 years 3 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
15 years 7 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda