نتایج جستجو برای: ranking keywords

تعداد نتایج: 2006051  

2004
Andrey Balmin Vagelis Hristidis Yannis Papakonstantinou

The ObjectRank system applies authority-based ranking to keyword search in databases modeled as labeled graphs. Conceptually, authority originates at the nodes (objects) containing the keywords and flows to objects according to their semantic connections. Each node is ranked according to its authority with respect to the particular keywords. One can adjust the weight of global importance, the w...

Chitgar, S. H. Nasseri,

The main aim of this paper is to deal with a fuzzy version of Farkas lemma involving trapezoidal fuzzy numbers. In turns to that the fuzzy linear programming and duality theory on these problems can be used to provide a constructive proof for Farkas lemma. Keywords Farkas Lemma, Fuzzy Linear Programming, Duality, Ranking Functions.

Journal: :CoRR 2016
Yangming Zhou Guoping Qiu

Label ranking aims to learn a mapping from instances to rankings over a finite number of predefined labels. Random forest is a powerful and one of the most successfully general-purpose machine learning algorithms of modern times. In the literature, there seems no research has yet been done in applying random forest to label ranking. In this paper, We present a powerful random forest label ranki...

Journal: :Proceedings of the American Society for Information Science and Technology 2009

2017
Mehdi Kargar Aijun An Parke Godfrey Jaroslaw Szlichta Xiaohui Yu

Keyword search in databases helps users who are not familiar with the database schema or a query language to explore the database efficiently. An answer is a join tree of tuples that contains the query keywords. We present a new framework for finding meaningful answers to the keyword search problem over databases with complex schema. The framework uses schema-based ranking methods to rank join ...

2013
Dalibor Fiala

This article describes how various ranking algorithms have been tested to evaluate researchers based on the data from a digital library called CiteSeer. We apply five well-known ranking methods such as citation counts, HITS, or PageRank and seven other methods derived from PageRank that take into account not only citation but also collaboration information to assess the importance of individual...

2014
Vishal Venkat Raman Swapnil Vijay Sharmila Banu

Real estate industry has become a highly competitive business with an enormous amount of unstructured documents and resources. The process of data mining in such a business provides an advantage to the developers by processing those data, predicting future trends and helping them to make favorable knowledge-driven decisions. In this paper, we focus on data mining techniques and its applications...

Journal: :Pharmacology and Clinical Pharmacy Research 2020

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