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nonordfp: An FPgrowth variation without rebuilding the FPtree PowerPoint PPT Presentation
nonordfp: An FPgrowth variation without rebuilding the FPtree - nonordfp: An FP-growth variation without rebuilding the FP-tree ... Nodes are placed in an array contiguously. no dynamic allocation. no pointers (just indices) ...
nonordfp: An FP-growth variation without rebuilding the FP-tree ... Nodes are placed in an array contiguously. no dynamic allocation. no pointers (just indices) ...
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MAIDS: MiningAlarmingIncidents inDataStreams PowerPoint PPT Presentation
MAIDS: MiningAlarmingIncidents inDataStreams - MAIDS: Mining Alarming Incidents. in Data Streams. A discussion on the MAIDS project ... TID Items bought (ordered) frequent items. 100 {f, a, c, d, g, i, m, p} ...
MAIDS: Mining Alarming Incidents. in Data Streams. A discussion on the MAIDS project ... TID Items bought (ordered) frequent items. 100 {f, a, c, d, g, i, m, p} ...
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Mining Frequent Item Sets by Opportunistic Projection PowerPoint PPT Presentation
Mining Frequent Item Sets by Opportunistic Projection - 1 Institute of Artificial Intelligence, Zhejiang ... 3 Department of Computer Science, UIUC, USA. 4 Dept. of CS, Hangzhou University of Commerce, China ...
1 Institute of Artificial Intelligence, Zhejiang ... 3 Department of Computer Science, UIUC, USA. 4 Dept. of CS, Hangzhou University of Commerce, China ...
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Hong Cheng, Xifeng Yan, Jiawei Han and ChihWei Hsu PowerPoint PPT Presentation
Hong Cheng, Xifeng Yan, Jiawei Han and ChihWei Hsu - This paper demonstrates that the discriminative power of low-support features is ... We want to single out the discriminative patterns and remove redundant ones ...
This paper demonstrates that the discriminative power of low-support features is ... We want to single out the discriminative patterns and remove redundant ones ...
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FREERIDE: System Support for High Performance Data Mining PowerPoint PPT Presentation
FREERIDE: System Support for High Performance Data Mining - ... 1747.22 1724.02 4.00 1289.25 1259.46 1564.15 1527.54 1546.74 1523.41 1.00 27386.00 27348.40 25992.70 24329.60 27650.20 26989.30 2.00 14066.50 14040.80 13076 ...
... 1747.22 1724.02 4.00 1289.25 1259.46 1564.15 1527.54 1546.74 1523.41 1.00 27386.00 27348.40 25992.70 24329.60 27650.20 26989.30 2.00 14066.50 14040.80 13076 ...
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Parallelizing FPgrowth Frequent Patterns Mining Algorithm Using OpenMP PowerPoint PPT Presentation
Parallelizing FPgrowth Frequent Patterns Mining Algorithm Using OpenMP - ... cond_table = conditional_table_construct(); // construct a conditional ... Combine these tree (sum up) when mining finished. 16. Conclusion ...
... cond_table = conditional_table_construct(); // construct a conditional ... Combine these tree (sum up) when mining finished. 16. Conclusion ...
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Data Mining for Data Streams PowerPoint PPT Presentation
Data Mining for Data Streams - Processing Complex Aggregate Queries over Data Streams, SIGMOD 02 J ... On computing correlated aggregates over continuous data streams. SIGMOD'01 C ...
Processing Complex Aggregate Queries over Data Streams, SIGMOD 02 J ... On computing correlated aggregates over continuous data streams. SIGMOD'01 C ...
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MAIDS Mining Alarming Incidents in Data Streams Implementation Discussion PowerPoint PPT Presentation
MAIDS Mining Alarming Incidents in Data Streams Implementation Discussion - Example: Minimal: quarter, then 4 quarters 1 hour, 24 hours day, ... second, minute, quarter, hour, day, week, ... Targeted items ...
Example: Minimal: quarter, then 4 quarters 1 hour, 24 hours day, ... second, minute, quarter, hour, day, week, ... Targeted items ...
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TFP : An Efficient Algorithm for Mining TopK Frequent Closed Itemsets PowerPoint PPT Presentation
TFP : An Efficient Algorithm for Mining TopK Frequent Closed Itemsets - Construct the FP-tree. Short transaction and l-counts. Remark 3.1 (Short transactions) ... set S' =(S-Sx), that is, items in SX can be safely removed from the local ...
Construct the FP-tree. Short transaction and l-counts. Remark 3.1 (Short transactions) ... set S' =(S-Sx), that is, items in SX can be safely removed from the local ...
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Chap. 8 Mining Stream, TimeSeries, and Sequence Data PowerPoint PPT Presentation
Chap. 8 Mining Stream, TimeSeries, and Sequence Data - Fast changing and requires fast, real-time response ... Tradebot (www.tradebot.com): stock tickers & streams. Tribeca (Bellcore): network monitoring ...
Fast changing and requires fast, real-time response ... Tradebot (www.tradebot.com): stock tickers & streams. Tribeca (Bellcore): network monitoring ...
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Highlevel Interfaces and Abstractions for Gridbased Data Mining PowerPoint PPT Presentation
Highlevel Interfaces and Abstractions for Gridbased Data Mining - Our understanding of what algorithms and parameters will give desired ... that worked for other clustering algo (k-means) and algo for other mining tasks ...
Our understanding of what algorithms and parameters will give desired ... that worked for other clustering algo (k-means) and algo for other mining tasks ...
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Data Mining for Data Streams PowerPoint PPT Presentation
Data Mining for Data Streams - ... continuous data, possibly infinite ... Financial market: stock exchange ... Historical data is important. Real-time requirements. Possibly multi-GB arrival rate ...
... continuous data, possibly infinite ... Financial market: stock exchange ... Historical data is important. Real-time requirements. Possibly multi-GB arrival rate ...
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Mining Dynamics of Data Streams in Multidimensional Space PowerPoint PPT Presentation
Mining Dynamics of Data Streams in Multidimensional Space - Multi-dimensional (regression) analysis of data streams. Stream ... Niagara (OGI/Wisconsin): Internet XML databases. OpenCQ (Georgia Tech): triggers, incr. ...
Multi-dimensional (regression) analysis of data streams. Stream ... Niagara (OGI/Wisconsin): Internet XML databases. OpenCQ (Georgia Tech): triggers, incr. ...
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Chap' 8 Mining Stream, TimeSeries, and Sequence Data PowerPoint PPT Presentation
Chap' 8 Mining Stream, TimeSeries, and Sequence Data - Fast changing and requires fast, real-time response ... Window stitching - Stitch similar windows to form pairs of large similar ...
Fast changing and requires fast, real-time response ... Window stitching - Stitch similar windows to form pairs of large similar ...
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Mining Dynamics of Data Streams in Multidimensional Space PowerPoint PPT Presentation
Mining Dynamics of Data Streams in Multidimensional Space - Multi-dimensional (regression) analysis of data streams. Stream cubing and stream OLAP methods ... Data reduction and synopsis construction methods ...
Multi-dimensional (regression) analysis of data streams. Stream cubing and stream OLAP methods ... Data reduction and synopsis construction methods ...
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Data Mining: Concepts and Techniques Chapter 6 PowerPoint PPT Presentation
Data Mining: Concepts and Techniques Chapter 6 - Select the attribute with the highest information gain ... The attribute provides the smallest ginisplit(D) (or the largest reduction in ...
Select the attribute with the highest information gain ... The attribute provides the smallest ginisplit(D) (or the largest reduction in ...
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MAIDS: MiningAlarmingIncidents inDataStreams PowerPoint PPT Presentation
MAIDS: MiningAlarmingIncidents inDataStreams - Querying, statistical summary, OLAP, regression, gradient analysis, ... Niagara (OGI/Wisconsin): Internet XML databases. OpenCQ (Georgia Tech): triggers, incr. ...
Querying, statistical summary, OLAP, regression, gradient analysis, ... Niagara (OGI/Wisconsin): Internet XML databases. OpenCQ (Georgia Tech): triggers, incr. ...
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