Sampled Apriori
CS5151/6051
Yizong Cheng
10/24/2017
AFR and AMR Populations
EAS, EUR, and SAS Populations
public class Baskets1cfw_
static final int numberOfItems = 4281;
static final int numberOfBask
Tane Algorithm
CS5151/6051
Yizong Cheng
10/31/2017
Level L1 Contains Singletons
The Three Steps in Each Iteration
All Immediate Subsets of a Ll+1 Set are in Ll
Need Prefix_Blocks()
Prefix_Blocks()
Data-Stream Management
CS5151/6051
Yizong Cheng
11/14/2017
Data Streams
real-time, transient, time-varying sequences of data items
Data arrives so rapidly that it is not feasible to store it all in
PCY
CS5151/6051
Yizong Cheng
10/19/2017
Memory Use of Apriori
C1: candidates for frequent singletons, or all items
all will be there for basket counts
L1: frequent singletons remains and all pairs
Minhash
CS5151/6051
Yizong Cheng
11/2/2017
Back to mmds
Jaccard Similarity
Applications of Near-Neighbor Search
plagiarism
mirror pages
articles from the same source
collaborative filtering for re
Bloom Filtering
CS5151/6051
Yizong Cheng
11/16/2017
The Bloom Filter
Making and Using a Bloom Filter
Membership Structures
A container with the main purpose of membership testing.
Iteration and dele
Almost Identical Sets
CS5151/6051
Yizong Cheng
11/9/2017
High Degrees of Similarity
Jaccard similarity at least 0.9?
Fix the order of items.
String representation of sets.
Each item represented by
The Apriori Algorithm
CS5151/6051
Yizong Cheng
10/17/2017
Market-Basket Data
The market basket corresponds to the sets of items a consumer buys
in a supermarket during one visit.
Frequent Itemsets
A
TANE: An Efficient Algorithm for
Discovering Functional and
Approximate Dependencies
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COHOMOLOGY OF COHERENT SHEAVES
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SLOW VISCOUS FLOW
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LARGE DEVIATIONS AND QUEUES
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SEISMIC WAVES
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T