RNNk query is to retrieve all the data points which use a query point as one of their k nearest neighbors. To answer the RNNk of queries efficiently, the properties of the Voronoi cell and the space-dividing regions are applied. The RNNk of the given point can be found without ...
具体的流程主要分成两步: Knowledge query(K_query)知识查询: 首先E = K\_Query(s, K),函数 K_Query 表示句子s对 知识图谱K,进行查询,,获得一系列的三元组E =\{(w_i, r_{i0}, w_{i0}), ..., (w_i, r_{ik}, w_{ik})\}。 Knowledge injection(K_injection)知识嵌入: 然后在知识嵌入的...
utility maximization, and matching, all involving uncertain datasets.First, we consider the problem of ranking and top-k query processing over probabilistic ... IIOM Ahmedabad - 《Acm Computing Surveys》 被引量: 0发表: 1996年 Implications of a heavy top quark and a fourth generation on the de...
Given a predicate in Q and integer k, a top-k query returns the k elements with the largest weights among the elements of D satisfying q. The corresponding data structure problem aims to store D in small space to allow every query to be answered efficiently. It is already known that, ...
RTA has two main drawbacks when processing a reverse top-k query: (i) it needs to access all stored user preferences, and (ii) it cannot avoid executing a top-k query for each user preference that belongs to the result set. To address these limitations, in this paper, we identify ...
Algorithms II OR: Data Structures and Algorithms in Java by Goodrich, Tamassia, Goldwasser used as optional text for CS intro course at UC Berkeley see my book report on the Python version below. This book covers the same topics. Python ...
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(i) a C k NN query over trajectories retrieves from D within T , the k (≥ 1) trajectories that lie closest to q and intersect (or are enclosed by) CR ; and (ii) an HCC k NN query on trajectories retrieves the constrained k nearest neighbors (C k NNs) of q at any time ...
Two types of the similarity join are well-known, the distance range join, in which the user defines a distance threshold for the join, and the closest pair query or k -distance join, which retrieves the k most similar pairs. In this paper, we propose an important, third similarity join...