找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Data-Driven Process Discovery and Analysis; 7th IFIP WG 2.6 Inte Paolo Ceravolo,Maurice van Keulen,Kilian Stoffel Conference proceedings 20

[復(fù)制鏈接]
查看: 50788|回復(fù): 37
樓主
發(fā)表于 2025-3-21 16:08:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis
副標(biāo)題7th IFIP WG 2.6 Inte
編輯Paolo Ceravolo,Maurice van Keulen,Kilian Stoffel
視頻videohttp://file.papertrans.cn/264/263315/263315.mp4
叢書(shū)名稱(chēng)Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Data-Driven Process Discovery and Analysis; 7th IFIP WG 2.6 Inte Paolo Ceravolo,Maurice van Keulen,Kilian Stoffel Conference proceedings 20
描述.This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium? on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. . The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application..
出版日期Conference proceedings 2019
關(guān)鍵詞BPM; Business Process Management; Data Mining; Process Analysis; Process Mining
版次1
doihttps://doi.org/10.1007/978-3-030-11638-5
isbn_softcover978-3-030-11637-8
isbn_ebook978-3-030-11638-5Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightIFIP International Federation for Information Processing 2019
The information of publication is updating

書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis影響因子(影響力)




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis被引頻次




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis被引頻次學(xué)科排名




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis年度引用




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis年度引用學(xué)科排名




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis讀者反饋




書(shū)目名稱(chēng)Data-Driven Process Discovery and Analysis讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:24:46 | 只看該作者
A Report-Driven Approach to Design Multidimensional Models,output. The approach is able to generate the multidimensional model and populate the data warehouse by defining a knowledge base specific to the domain. Although the use of semantic information in data storage is not new, the novel contribution of our approach is represented by the idea of simplifyi
板凳
發(fā)表于 2025-3-22 03:06:57 | 只看該作者
地板
發(fā)表于 2025-3-22 06:15:47 | 只看該作者
5#
發(fā)表于 2025-3-22 09:02:04 | 只看該作者
6#
發(fā)表于 2025-3-22 15:27:51 | 只看該作者
7#
發(fā)表于 2025-3-22 17:14:28 | 只看該作者
8#
發(fā)表于 2025-3-22 22:10:51 | 只看該作者
Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction,provided as an input to semantic process mining..The approach has been tested in the medical domain of stroke care, where we show how the abstraction mechanism allows the user to mine process models that are easier to interpret, since unnecessary details are hidden, but key behaviors are clearly visible.
9#
發(fā)表于 2025-3-23 03:32:55 | 只看該作者
10#
發(fā)表于 2025-3-23 07:59:05 | 只看該作者
Introduction: Conceptualization,nt events. The introduced approach allows the use of general relations between event attributes by means of freeze quantifiers as well as future and past temporal operators. The paper also presents a decision procedure, as well as a study of its computational complexity.
 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(ài)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(píng) 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-31 08:18
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
基隆市| 南木林县| 马鞍山市| 民县| 崇明县| 抚松县| 大港区| 遵化市| 车险| 九台市| 乐都县| 汕尾市| 溧水县| 商水县| 武乡县| 永善县| 行唐县| 吴忠市| 桐柏县| 安顺市| 武邑县| 个旧市| 宁波市| 惠水县| 苗栗市| 砚山县| 儋州市| 瑞丽市| 黑龙江省| 无棣县| 公安县| 台东县| 光泽县| 沙坪坝区| 旅游| 烟台市| 博湖县| 宝应县| 石棉县| 南投县| 凤凰县|