Data Stream Management Systems | |
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Introduction |
slides |
SQL:2003 on Ordered Tuples | |
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Sequence Queries: SQL-TS | slides |
Proposed New SQL standards | |
SQL-TS Optimization | slides |
K*SQL and Nested Word FSA | slides |
OLAP Functions | slides |
Paper on OLAP Functions | slides |
User-Defined Aggregates | slides |
SQL:2003 on Ordered Tuples | |
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Non-Blocking Query Operators | slides |
RA & Continuous Query Language |
An Expressive Stream Language (ESL) | |
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For Mining Data Streams | slides |
Response
Time |
|
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Outline
|
slides |
Response-Time Optimization | slides |
Optimization and Scheduling | slides |
Approximation,
Load Shedding and QoS
|
|
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Approximation and Synopses | slides |
Sampling on Windows | slides |
Counting Sketches and Histograms | slides |
Load Shedding |
DataStream Classifiers | |
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Introduction | slides |
Bloom Filters |
slides |
|
slides |
Classfication
Methods on Data Bases |
slides |
Classfication Methods on Data Streams |
slides |
FrequentPatterns and Association Rules | |
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Frequent Itemset algorithms |
slides |
Frequent Patters on Data Streams | slides |
Clustering Data Streams | |
Clusters and Miniclusters | slide |
Time Series | |
Mining Time Series | slide |
Software for Mining Data Bases or Data Streams | |
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Data Mining Software Suites | top50 |
WEKA | slides |
Stream Mill Miner (SMM) | slides |
slides |