«top k algorithm»
۲۶۶۳ نتیجهTop-k Best Probability Queries on Probabilistic Data
There has been much interest in answering top-k queries on probabilistic data in various applications such as market analysis, personalised services, and decision making. In relation to probabilistic data, the most common problem in answering top-k queries is selecting the semant
Authenticated Top-K Aggregation in Distributed and Authenticated Top-K Aggregation in Distributed and
Top-k queries have attracted interest in many different areas like network and system monitoring, information retrieval, sensor networks, and so on. Since today many applications issue top-k queries on distributed and outsourced databases, authentication of top-k query results be
Top-k Spatial Preference Queries in Directed Road Networks
Top-k spatial preference queries rank objects based on the score of feature objects in their spatial neighborhood. Top-k preference queries are crucial for a wide range of location based services such as hotel browsing and apartment searching. In recent years, a lot of research h
Top-k-FCI: Mining Top-K Frequent Closed Itemsets in Data Streams
With the generation and analysis of stream data, such as network monitoring in real time, log records, click streams, a great deal of attention has been concerned on data streams mining in the field of data mining. In the process of the data streams mining, it is more reasonable
Diversified Top-k Graph Pattern Matching
Graph pattern matching has been widely used in e.g., social data analysis. A number of matching algorithms have been developed that, given a graph pattern Q and a graph G, compute the set M(Q,G) of matches of Q in G. However, these algorithms often return an excessive number of m
Dynamic Structures for Top- k Queries on Uncertain Data
In an uncertain data set S = (S, p, f) where S is the ground set consisting of n elements, p : S → [0, 1] a probability function, and f : S → R a score function, each element i ∈ S with score f(i) appears independently with probability p(i). The top-k query on S asks for the set
Top-k/w publish/subscribe: A publish/subscribe model for continuous top-k processing over data streams
Continuous processing of top-k queries over data streams is a promising technique for alleviating the information overload problem as it distinguishes relevant from irrelevant data stream objects with respect to a given scoring function over time. Thus it enables filtering of irr
Efficient Top-K Query Algorithms Using Density Index
Top-k query has been widely studied recently in many applied fields. Fagin et al. [3] proposed an efficient algorithm, the Threshold Algorithm (i.e. TA), to process top-k queries. However, in many cases, TA does not terminate even if the final top-k results have been found for so
Cooperative Game Theoretic Solution Concepts for top-$k$ Problems
The problem of finding the k most critical nodes, referred to as the top-k problem, is a very important one in several contexts such as information diffusion and preference aggregation in social networks, clustering of data points, etc. It has been observed in the literature that
Computing optimal k-regret minimizing sets with top-k depth contours
Regret minimizing sets are a very recent approach to representing a dataset D with a small subset S of representative tuples. The set S is chosen such that executing any top-1 query on S rather than D is minimally perceptible to any user. To discover an optimal regret minimizing