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; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202

[復制鏈接]
樓主: palliative
21#
發(fā)表于 2025-3-25 05:12:50 | 只看該作者
A Knowledge-Driven Business Process Analysis Methodologyformation system development. This paper proposes a knowledge framework, referred to as BPA Canvas, primarily conceived to guide business people in building a BPA knowledge base. The resulting knowledge base is organized into eight sections where only the last one, the BPA ontology, requires specialist competences.
22#
發(fā)表于 2025-3-25 07:57:25 | 只看該作者
Clustering-Based Cross-Sectional Regime Identification for?Financial Market Forecastingial system. A regime can be defined as a specific group of complex patterns that share common characteristics in a specific time interval. Regime switch, caused by external and/or internal drivers, refers to the changing behaviors exhibited by a system at a specific time point. The existing regime d
23#
發(fā)表于 2025-3-25 15:02:34 | 只看該作者
Alps: An Adaptive Load Partitioning Scaling Solution for?Stream Processing System on?Skewed Stream the impact of rate variation, but cannot maintain high performance with a low overhead when input stream is skewed. To solve this issue, we propose Alps, an Adaptive Load Partitioning Scaling system. Alps exploits adaptive partitioning scaling algorithm based on the willingness function to determin
24#
發(fā)表于 2025-3-25 18:10:09 | 只看該作者
25#
發(fā)表于 2025-3-25 21:02:53 | 只看該作者
InTrans: Fast Incremental Transformer for?Time Series Data Prediction Time-series forecasting has been extensively studied. Many existing forecasting models tend to perform well when predicting short sequence time-series. However, their performances greatly degrade when dealing with the long one. Recently, more dedicated research has been done for this direction, and
26#
發(fā)表于 2025-3-26 01:24:13 | 只看該作者
27#
發(fā)表于 2025-3-26 08:09:09 | 只看該作者
28#
發(fā)表于 2025-3-26 08:46:22 | 只看該作者
Sequence Recommendation Model with Double-Layer Attention Netopment of recurrent neural networks enables systems to better process sequence information to capture users’ long-term preferences. While it cannot effectively utilize both long-term and short-term preferences. In this paper, we propose a novel double-layer attention mechanism mode, which not only i
29#
發(fā)表于 2025-3-26 12:39:24 | 只看該作者
30#
發(fā)表于 2025-3-26 19:24:27 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-7 18:28
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
玛多县| 外汇| 彭泽县| 简阳市| 睢宁县| 永顺县| 万全县| 辽宁省| 临汾市| 耿马| 贵溪市| 屏东市| 许昌县| 尉犁县| 贡嘎县| 林甸县| 岑巩县| 郓城县| 衡水市| 樟树市| 从江县| 高阳县| 乾安县| 海兴县| 调兵山市| 阜阳市| 海兴县| 元氏县| 抚顺市| 高安市| 霍邱县| 古丈县| 石台县| 胶州市| 祁门县| 寿光市| 五寨县| 隆尧县| 本溪| 上饶县| 固安县|