Essays about: "rule matching"
Showing result 1 - 5 of 15 essays containing the words rule matching.
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1. Generating Wikipedia Articles with Grammatical Framework : A Case Study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Natural language generation is a method used to produce understandable texts in human languages from data [1]. Grammatical Framework is a grammar formalism and a functional programming language using a nonstatistical approach to build natural language applications. READ MORE
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2. Ontology-Based SemanticWeb Mining Challenges : A Literature Review
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : The semantic web is an extension of the current web that provides a standardstructure for data representation and reasoning, allowing content to be readable for both humans and machines in a form known as ontological knowledgebases. The goal of the Semantic Web is to be used in large-scale technologies or systems such as search engines, healthcare systems, and social mediaplatforms. READ MORE
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3. A comparative analysis of database sanitization techniques for privacy-preserving association rule mining
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Association rule hiding (ARH) is the process of modifying a transaction database to prevent sensitive patterns (association rules) from discovery by data miners. An optimal ARH technique successfully hides all sensitive patterns while leaving all nonsensitive patterns public. READ MORE
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4. Product Matching through Multimodal Image and Text Combined Similarity Matching
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Product matching in e-commerce is an area that faces more and more challenges with growth in the e-commerce marketplace as well as variation in the quality of data available online for each product. Product matching for e-commerce provides competitive possibilities for vendors and flexibility for customers by identifying identical products from different sources. READ MORE
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5. Knowledge Base Augmentation from Spreadsheet Data : Combining layout inference with multimodal candidate classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Spreadsheets compose a valuable and notably large dataset of documents within many enterprise organizations and on the Web. Although spreadsheets are intuitive to use and equipped with powerful functionalities, extraction and transformation of the data remain a cumbersome and mostly manual task. READ MORE