TOP-K
Stochastic Top k ListNet
... Finally, we highlight that the stochastic ap- proach is not limited to the ListNet model, but any model for listwise learning. It is well known that listwise learning outperforms pairwise learning, due to it is ...
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An Efficient Algorithm for Finding Top-K Shortest Simple Path
... for top-k shortest path distance queries on graphs, which is useful in a wide range of important applications such as network aware searches and link ...for top-k distance queries based on ...
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Unified Framework for Handling Different Types of Top-K Queries
... of top-k queries the scoring function returns top-k objects with the smallest ...are top-k pairs queries and top-k groups ...multivalued top-k pairs ...
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Efficient Algorithms for Mining Top-K High Utility Itemsets
... Generating PKHUIs from the UP-Tree : The TKU algorithm uses an internal variable named border minimum utility threshold, which is initially set to 0 and raised dynamically after a sufficient number of itemsets with ...
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A Novel Approach to Extract Top-K High Beneficial Itemsets
... extract top-K high beneficial itemsets. Here K is the picked portion of high beneficial itemsets that is to be ...extract top-k high beneficial itemsets named Enhanced ...
5
Estimation Of Potential Product Using Reverse Top-K Queries
... through top-k ...reverse top-k query, that covers the requirement of potential product, which are the user preferences that make this product belong to the top-k query result ...
6
Fuzzy Multi-Join and Top-K Query Model for Search-As-You-Type in Multiple Tables
... Top-k join queries in practical relational query processors. We introduce a new rank-join algorithm that is independent of the join strategy, along with its correctness proof. The proposed rank-join ...
5
Secure Top-K Query to Variably Encrypted Signature in Tiered Sensor Networks
... ABSTRACT: Storage nodes are predictable to be located as an intermediate tier of huge scale sensor networks for caching the composed sensor readings and responding to queries with benefits of influence and storage ...
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Efficient Processing of Top K Dominating Queries on Incomplete Data
... Data mining is an effective method to manage finds information inside the huge measure of the data. Divided data is general, finding and investigating this sort of data is fundamental beginning late. The top ...
7
An Efficient Strategy for Monitoring Top k Queries in Document Streaming
... one-off) top-k queries over static document ...best k look, though adjusted to the "standing" idea of the consistent queries and the profoundly unique attributes of the document ...preview ...
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Keyword Search and Geographic aspect Spatial Top k Search
... Spatio-temporal places and their related keywords gets the by accessing their information and location details. To handle large amount of data such as e.g twitter and flicker. To retrieve the information by using the ...
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An Efficient Evaluation of Top-K Competitors using CMiner
... However, the technique addressed many problems like finding the top-k competitors of a given item and handling structured data. I proposed a new online metrics for competitor relationship predicting. This ...
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Evaluating Continuous Monitoring of Top k Queries Using Sliding Window
... The Top k Monitoring Algorithm comprises of three modules, for example, matrix based record structure, top k algorithm module and support ...
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Identification of top-K nodes in large networks using Katz centrality
... Generally in specific types of research, the researchers have a tentative idea on what they are looking for and what they want to get as the output. During these types of stud- ies, the researchers are concerned for a ...
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Clustering based routing for top k querying in wireless sensor networks
... many top-k querying algo- rithms ...The top-k querying based on TAG has the fol- lowing shortages: first, the depth of TAG is limited, and it is not suitable for large-scale WSNs; second, the ...
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An Optimal Strategy for Evaluating Continuous Top k Monitoring on Document Streams
... the k most relevant queries for every newly published ...approximate top-k ...the k most related tweets ...(for top-k publish ...
7
A WEIGHT BASED APPROACH TO EXTRACT TOP K LIST FROM THE WEB
... A lot of data on the Web is contained in consistently organized items, which we call data records. Such data records are imperative in light of the fact that they regularly display the fundamental data of their host ...
6
Identification and classification of top k string with weighted dissimilarity measures
... the top k result by utilizing the word ...acquiring top k results in this ...ideal top k results that must be positioned in web ...
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A Searching Strategy to Adopt Multi-Join Queries Based on Top-K Query Model
... Top-k join queries in practical relational query processors. We introduce a new rank-join algorithm that is independent of the join strategy, along with its correctness proof. The proposed rank-join ...
8
THE DISCOVERY OF TOP-K DNA FREQUENT PATTERNS WITH APPROXIMATE METHOD
... only top-k frequent itemsets is more practical than searching for all itemsets that meet the minimum support ...threshold. Top-k frequent pattern discovery (Han et ...the k most ...
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