Using text mining to infer semantic attributes for retail data mining
Explore this paper's citation graph
- Type
- article
- Published
- 2002-12-09
- Cited by
- 31
- References
- 14
- OpenAlex
- https://openalex.org/W1671825759
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18325112
Keywords
Computer science, Semantics (computer science), Information retrieval, Knowledge base, Recommender system
References
- Data Mining on Symbolic Knowledge Extracted from the Web
- A comparison of event models for naive bayes text classification
- Fast Discovery of Association Rules
- Learning Hidden Markov Model Structure for Information Extraction
- E-Commerce Recommendation Applications
- Learning to construct knowledge bases from the World Wide Web
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Text Classification from Labeled and Unlabeled Documents using EM
- Transductive Inference for Text Classification using Support Vector Machines
- Exploiting Generative Models in Discriminative Classifiers
- Building Recommender Systems using a Knowledge Base of Product Semantics
- Maximum Likelihood from Incomplete Data via the EM Algorithm
- Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
- Mining with Information Extraction
Cited by
- KACST Arabic Text Classification Project: Overview and Preliminary Results
- Architectures and algorithms for intelligent web applications
- Using Soft-Matching Mined Rules to Improve Information Extraction
- Price prediction and insurance for online auctions
- Text Mining-Supported Information Extraction: An Extended Methodology for Developing Information Extraction Systems
- Extracting knowledge using probabilistic classifier for text mining
- Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
- Semantically Holistic and Personalized Views Across Heterogeneous Information Sources
- Information Extraction -a text mining approach
- Text mining with information extraction
- TEXT MINING ALGORITHM DISCOTEX (DIS-COVERY FROM TEXT EXTRACTION) WITH INFORMATION EXTRACTION
- A Survey on VariousTopic Mining Techniques &Applications
- Concept-based Clustering for Open-sourced Software(Oss) Development Forum Threads
- Ontology-based Feature Construction on Non-structured Data
- A Frame Work for Text Mining using Learned Information Extraction System
- Text Mining for Supply Chain Risk Management in the Apparel Industry
- Deriving Technology Roadmaps with Tech Mining Techniques
- User intent based recommendation for modern BI systems
- Predicting the End-Price of Online Auctions
- MINING ALGORITHM DISCOTEX ( DISCOVERY FROM TEXT EXTRACTION ) WITH INFORMATION EXTRACTION 1
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