Objectminer: A New Approach for Mining Complex Objects
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Summary
The proposed work presents a framework for mining complex objects, whose attributes can be of any data type (single and multi-valued) and guided by the semantics associated to each object feature, which is stated by users by providing both a comparison criterion and a similarity function over the object subdescriptions.
- Type
- article
- Published
- 2016-11-21
- Cited by
- 19
- References
- 13
- OpenAlex
- https://openalex.org/W52912390
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4596224
Keywords
Automatic summarization, Computer science, Association rule learning, Data mining, Object (grammar)
References
- Mining generalized association rules
- An Efficient Algorithm for Mining Association Rules in Large Databases
- Mining quantitative association rules in large relational tables
- Association rules over interval data
- Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model
- Mining association rules between sets of items in large databases
- Fast Algorithms for Mining Association Rules
- Mining Weighted Association Rules for Fuzzy Quantitative Items
- Text Mining Using the Hierarchical Syntactical Structure of Documents
- A New Algorithm for Faster Mining of Generalized Association Rules
Cited by
- Mining of complex objects via description clustering
- Mining frequent patterns and association rules using similarities
- Mining frequent pattern with Attribute Oriented Induction High Level Emerging Pattern (AOI-HEP)
- A novel model for mining association rules from semantic web data
- RP-Miner: a relaxed prune algorithm for frequent similar pattern mining
- Attribute Oriented Induction High Level Emerging Pattern (AOI-HEP) future research
- Finding association rules in semantic web data
- Using Attribute Oriented Induction High Level Emerging Pattern (AOI-HEP) to Mine Frequent Patterns
- Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss
- Frequent similar pattern mining using non Boolean similarity functions
- A regression-based algorithm for frequent itemsets mining
- X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining
- PSO-FSPMiner: A Metaheuristic Approach for Mining a Representative Subset of Frequent Similar Patterns
- Mining Frequent and Similar Patterns with Attribute Oriented Induction High Level Emerging Pattern ( AOI-HEP ) Data Mining Technique
- A Description Clustering Data Mining Technique for Heterogeneous Data
- Mining Association Rules from Semantic Web Data
- Mining Frequent Similar Patterns on Mixed Data
- Using Non Boolean Similarity Functions for Frequent Similar Pattern Mining
- MCFSP: Mining Closed frequent Similar Patterns
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