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 and Expert Systems Applications; 22nd International C Abdelkader Hameurlain,Stephen W. Liddle,Xiaofang Z Conference proceedings 20

[復(fù)制鏈接]
樓主: Washington
41#
發(fā)表于 2025-3-28 16:45:38 | 只看該作者
Twig Pattern Matching: A Revisiter, using . as a filter may incur other redundant computation. We propose two approaches, namely . and ., which can avoid the redundant computation and can be easily applied to both holistic one-phase and two-phase algorithms. The experiments show that our approach can significantly improve the efficiency by avoiding the redundant computation.
42#
發(fā)表于 2025-3-28 22:48:59 | 只看該作者
43#
發(fā)表于 2025-3-28 23:40:31 | 只看該作者
44#
發(fā)表于 2025-3-29 03:48:54 | 只看該作者
45#
發(fā)表于 2025-3-29 10:20:15 | 只看該作者
Time Response and Basic Feedback Controlical scenario is addressed. The goal is to analyze biosignal data in order to discover patterns of events, expressed in terms of breathing and cardiovascular system time-annotated disorders, which may trigger particular stages of the human central nervous system during sleep.
46#
發(fā)表于 2025-3-29 13:57:14 | 只看該作者
47#
發(fā)表于 2025-3-29 15:35:10 | 只看該作者
E. E. Fetz,D. V. Finocchio,M. A. Baker are not well-suited to the specificities of the manipulated data. We also propose a new way for extracting the context of a concept in a hierarchy. Experiments carried out on real data underline the relevance of our proposal.
48#
發(fā)表于 2025-3-29 20:50:44 | 只看該作者
49#
發(fā)表于 2025-3-30 00:29:33 | 只看該作者
A Temporal Data Mining Framework for Analyzing Longitudinal Dataical scenario is addressed. The goal is to analyze biosignal data in order to discover patterns of events, expressed in terms of breathing and cardiovascular system time-annotated disorders, which may trigger particular stages of the human central nervous system during sleep.
50#
發(fā)表于 2025-3-30 04:58:39 | 只看該作者
Inferring Fine-Grained Data Provenance in Stream Data Processing: Reduced Storage Cost, High Accuracprocessing. The approach has been evaluated on a real dataset and the result shows that our proposed inferring method provides provenance information as accurate as explicit fine-grained provenance at reduced storage consumption.
 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(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-21 03:09
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
革吉县| 农安县| 湄潭县| 沙河市| 宜城市| 城市| 邓州市| 南开区| 宜良县| 钦州市| 辉县市| 南涧| 凯里市| 瑞金市| 南安市| 永吉县| 增城市| 永平县| 金坛市| 郧西县| 塔河县| 株洲县| 苗栗县| 乐至县| 盐津县| 米脂县| 兴安盟| 祁阳县| 莎车县| 新营市| 广河县| 白银市| 深泽县| 突泉县| 行唐县| 成武县| 沂南县| 扬中市| 米泉市| 上杭县| 大埔县|