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: Intelligent Information and Database Systems; 12th Asian Conferenc Pawe? Sitek,Marcin Pietranik,Chutimet Srinilta Conference proceedings 20

[復(fù)制鏈接]
樓主: 手或腳
21#
發(fā)表于 2025-3-25 05:03:33 | 只看該作者
22#
發(fā)表于 2025-3-25 08:13:30 | 只看該作者
Conference proceedings 2020uket, Thailand, in March 2020.?.The total of 50 full papers accepted for publication in these proceedings were carefully reviewed?and selected from 180 submissions. The papers are organized in the following topical sections: ?advanced big data, machine learning and data mining; industry applications
23#
發(fā)表于 2025-3-25 14:41:13 | 只看該作者
24#
發(fā)表于 2025-3-25 18:36:00 | 只看該作者
25#
發(fā)表于 2025-3-25 21:04:50 | 只看該作者
Efficient Approaches for House Pricing Prediction by Using Hybrid Machine Learning Algorithmse property, location of the house, material used for construction, age of the property, number of bedrooms and garages and so on. This paper elaborates on the performance of Linear regression and Ridge regularization for model prediction. It also details the machine learning techniques used and its significance pertaining to the results.
26#
發(fā)表于 2025-3-26 01:46:00 | 只看該作者
27#
發(fā)表于 2025-3-26 06:21:40 | 只看該作者
Association Rules Extraction Method for Semantic Query Processing Over Medical Big DataFurthermore, it can provide a complete keyword library for semantic relation extraction. Experiments show that TRSC algorithm can effectively recognize the low-frequency keywords and extend medical keywords library, it accurately mined the semantic relationships.
28#
發(fā)表于 2025-3-26 09:10:52 | 只看該作者
Popular Disease Topics Mining Method for Online Medical Communityine the underlying disease topics in the mass medical community text data, which can discover the patients high concerned diseases and symptoms, provide the reference of pathological symptoms to doctors, and support the decision-making treatment programs.
29#
發(fā)表于 2025-3-26 16:34:52 | 只看該作者
30#
發(fā)表于 2025-3-26 18:48:24 | 只看該作者
Exploiting CBOW and LSTM Models to Generate Trace Representation for Process Minings and Long short-term memory, for generating the trace representation. The experimental results have achieved significant improvement, i.e., not only showing the close relationship between the activities in a trace but also helping to reduce the dimension of trace representation.
 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, 2025-10-6 14:56
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
荔波县| 砚山县| 丰宁| 淳安县| 惠州市| 沁阳市| 新沂市| 库尔勒市| 平潭县| 仁布县| 依兰县| 崇州市| 富蕴县| 南宫市| 和林格尔县| 仁布县| 鄱阳县| 清丰县| 侯马市| 岳西县| 唐河县| 绍兴市| 盘山县| 黎平县| 汕尾市| 汉源县| 偃师市| 浦江县| 盐亭县| 双峰县| 通州区| 德阳市| 仁布县| 海兴县| 汶川县| 乡宁县| 肇东市| 邓州市| 修武县| 钦州市| 霍林郭勒市|