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"padding" bitmaps to support similarity and mining
Roy Gelbard
School of Business Administration
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of '"padding" bitmaps to support similarity and mining'. Together they form a unique fingerprint.
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Keyphrases
Similarity Measure
100%
Bitmap
100%
Continuous Data
100%
Bitmap Indexing
100%
Data Value
50%
Domain Distribution
50%
Data Storage
50%
Data Retrieval
50%
Classification Data
50%
Discrete Attributes
50%
Second Derivative
50%
Fisher's Iris Dataset
50%
First Derivative
50%
Ordinal Data
50%
Classification via Clustering
50%
Bitmap Index
50%
Nominal Data
50%
Clustering Accuracy
50%
Computer Science
Data Mining
100%
Continuous Data
100%
Bitmap Indexing
100%
Information Storage
50%
Data-Value
50%
Discrete Attribute
50%
Domain Attribute
50%
Similarity Measurement
50%
Engineering
Similarities
100%
Continuous Data
66%
Discrete Value
33%
Data Value
33%
Nominal Data
33%
Ordinal Data
33%