[PDF] Top 20 Efficient Prediction of Difficult Keyword Queries over Databases
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Efficient Prediction of Difficult Keyword Queries over Databases
... inquiries over this informational ...changed over each particular RDF subject in this informational index to a substance whose identifier is the subject ... See full document
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Efficient Prediction of Difficult Keyword Queries over Databases Gurramkonda Lakshmi Priyanka & K Rajasekhar Reddy
... for queries over structured data do not generally consider the terms in V that do not belong to query Q, we consider their frequencies to be the same across the original and noisy versions of ...contains ... See full document
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Efficient Prediction of Difficult Keyword Queries using Collaborative Filtering Recommendation Framework
... [11] C. Hauff, L. Azzopardi, and D. Hiemstra, ―The combination andevaluation of query performance prediction methods,‖ in Proc.31st ECIR, Toulouse, France, 2009, pp. 301–312. [12] E. Yom-Tov, S. Fine, D. Carmel, ... See full document
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The Efficient Prediction Review of Difficult Keyword Queries over Databases Basim Ali Razooqi
... that queries specify the exact column or columns against which a given list of keywords is to be ...a keyword query might need to be “assembled” -in perhaps unforeseen ways- by joining tuples from mul- ... See full document
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Ontology Based Prediction of Difficult Keyword Queries
... From the experimental results, we can say that the proposed system is more effective than the existing system in terms of accuracy rate, quality of result and short threshold time. Proposed system ensures significant ... See full document
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A Novel Method for Prediction of Difficult Keyword Queries Sonal. G. Chopde, S. A. Murab
... for databases have attracted a lot of attention within the last decade because of their flexibility and easy use in looking and exploring the ...answer, keyword queries typically have many possible ... See full document
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Implementation of Efficient Keyword Search in Relational Databases
... processing over graph-structured data is enjoying a growing number of ...top-k keyword search query on a graph finds the top k answers according to some ranking criteria, where each answer is a substructure ... See full document
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An efficient and improved performance for keyword searching in larger databases
... use keyword search for access single database ...answers keyword queries at relational database it provide more efficiently when compared to current ...two databases by joining the foreign key ... See full document
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IMPLEMENTATION OF EFFICIENT KEYWORD ROUTING IN LINKED DATA
... for Keyword Search on Graph Databases [4] ...edges. Keyword search on such graphs has received much attention ...proposed Keyword Search in Databases[5]: The Power of RDBMS. ... See full document
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Diversification of the words for Keyword Queries over XML Data
... While keyword query empowers ordinary users to search vast amount of data, the ambiguity of keyword query makes it difficult to effectively answer keyword queries, especially for short ... See full document
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An Efficient Schema Free Keyword Search Approach Over Linked Data using Lucene Indexing Algorithm
... SQL queries and explore to retrieve the intended ...The keyword search is popular due to its simplicity and user- friendly nature with the end user who may be less comfortable with the existing ...web ... See full document
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Efficient Keyword-Based Searching Strategies for Linked Databases
... complex queries, and querying the linked data using structured languages is ...a keyword is better because users might not know the query languages and also no need of remembering the schema of the ...based ... See full document
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Searching Keyword on Uncertain Graph Data by Using Enhanced Approach
... mechanism keyword search is used and provides a simple but user friendly interface to extract or retrieve information from complicated data ...is difficult task to retrieve keyword on uncertain ... See full document
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Dynamic Guessing Work for Crucial Access of Keyword Objections over the Databases
... of queries better than large ...performance prediction first-class in our ...issue prediction first-rate more in section ...samples over M (that is, we use N corrupted copies of the ... See full document
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Efficient Approach for Detecting Hard Keyword Queries with Multi Level Noise Generation
... in Databases using BANKS [4] describe techniques for keyword searching and browsing on databases that we have developed as part of the BANKS system (BANKS is an acronym for Browsing ANd ... See full document
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Efficient, Effective, and Scalable Personalized Keyword Query Interpretation for RDF Databases.
... the keyword search has made it an increasingly popular paradigm for querying (semi) structured ...the keyword search are based on information retrieval (IR) ...containing keyword matches are returned ... See full document
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Efficient Processing of Continuous Queries Utilizing F-relationship in Stock Databases
... user queries in a system for stock investment recommendation, and defines the F-relationship, which is a new type of a relationship between two ...two queries Q1 and Q2 means that, if the recommendation ... See full document
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EFFICIENT KEYWORD SEARCH IN RELATIONAL DATABASES
... attributes. Queries that filter using those attributes can obtain related tuples randomly using the index, without having to check every tuple in ...Relational databases systems typically supply various ... See full document
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Efficient Search On Xml Data By Using Context Based Diversification
... Abstract— Keyword query allows normal users to search massive amounts of data; the ambiguity of keyword query makes it difficult to respond effectively keyword queries, particularly for ... See full document
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KEYWORD SEARCH IN RELATIONAL DATABASES
... of keyword search over graph data, which uses both forward and backward ...rather difficult to identify structural relationships through inverted indices because bidirectional expansion may miss some ... See full document
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