找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Database Systems for Advanced Applications; 20th International C Matthias Renz,Cyrus Shahabi,Muhammad Aamir Cheema Conference proceedings 2

[復(fù)制鏈接]
樓主: OBESE
31#
發(fā)表于 2025-3-27 00:41:44 | 只看該作者
32#
發(fā)表于 2025-3-27 03:29:12 | 只看該作者
Retaining Rough Diamonds: Towards a Fairer Elimination of Low-Skilled Workersho might just be lacking educational skills, and plainly unethical workers. We show how current quality control measures misjudge and subsequently discriminate against honest workers with lower skill levels. In contrast, our techniques use statistical models that computes the level of a worker’s ski
33#
發(fā)表于 2025-3-27 06:05:06 | 只看該作者
Keyword-Aware Dominant Route Search for Various User Preferencesre Dominant Routes (KDR) query, which returns all possible preferable routes, covering a set of keywords under a specified budget constraint. We devise a novel algorithm DR for efficiently finding the exact result of a KDR query and a heuristic algorithm FDR to approximately answer a KDR query. Expe
34#
發(fā)表于 2025-3-27 11:25:44 | 只看該作者
Spatial Keyword Range Search on Trajectoriesate the range search, a novel index structure called IOC-Tree is proposed based on the inverted indexing and octree techniques to effectively explore the spatio, temporal and textual pruning techniques. Furthermore, this structure can also support the query with order-sensitive keywords. Comprehensi
35#
發(fā)表于 2025-3-27 14:07:58 | 只看該作者
A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalurse of dimensionality because they rely heavily on Euclidean distance. This paper proposed a new method, called Minority Oversampling Technique based on Local Densities in Low-Dimensional Space (or MOT2LD in short). MOT2LD first maps each training sample into a low-dimensional space, and makes clus
36#
發(fā)表于 2025-3-27 18:18:54 | 只看該作者
37#
發(fā)表于 2025-3-27 22:49:57 | 只看該作者
Rare Category Exploration on Linear Time Complexitye a high time complexity and are applicable to rare categories with compact and spherical shapes rather than arbitrary shapes. In this paper, we present FREE an effective and efficient RCE solution to explore rare categories of arbitrary shapes on a linear time complexity w.r.t. data set size. FREE
38#
發(fā)表于 2025-3-28 05:19:44 | 只看該作者
FP-CPNNQ: A Filter-Based Protocol for Continuous Probabilistic Nearest Neighbor Queryireless sensor networks. In such applications, a large number of sensor devices are deployed to collect useful information such as temperature readings and vehicle positions. However, these distributed sensors usually have limited computational and communication power and thus the amount of sensor q
39#
發(fā)表于 2025-3-28 06:36:31 | 只看該作者
40#
發(fā)表于 2025-3-28 13:22:07 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 10:28
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
隆化县| 丹江口市| 青河县| 霍城县| 兴业县| 阿拉善右旗| 绥中县| 四川省| 台州市| 泉州市| 班戈县| 南京市| 雷州市| 琼中| 新丰县| 沁水县| 宁德市| 云南省| 宜兰市| 淅川县| 云阳县| 紫阳县| 吉木萨尔县| 巫溪县| 长沙县| 武夷山市| 项城市| 宁陵县| 新安县| 嘉祥县| 延津县| 崇仁县| 洛南县| 来凤县| 平度市| 宁城县| 辽源市| 台东市| 湖北省| 内乡县| 长海县|