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: Data Mining and Big Data; First International Ying Tan,Yuhui Shi Conference proceedings 2016 Springer International Publishing Switzerland

[復(fù)制鏈接]
樓主: ABS
21#
發(fā)表于 2025-3-25 06:14:32 | 只看該作者
22#
發(fā)表于 2025-3-25 08:17:34 | 只看該作者
Controlling and Directing Accreditationhe unified management of trajectories, underlying geographical space and social relationships for massive moving objects. A bulk of . . and corresponding . are also proposed to facilitate geo-social queries on moving objects.
23#
發(fā)表于 2025-3-25 13:54:17 | 只看該作者
Enhanced Versions of the CBO Algorithmze the possibility of collisions between crossing and through traffic, Precaution Areas (PAs) were laid out to remind mariners where the crossing and encountering situations may occur in the strait. Recent advances in telemetry technology help to collect ships movement data more efficiently and accu
24#
發(fā)表于 2025-3-25 18:50:27 | 只看該作者
25#
發(fā)表于 2025-3-25 20:10:24 | 只看該作者
Colliding Galaxies: The Discovery,that the current models used in liver transplantation prognosis seems to be less accurate. In this paper, we propose a highly improved model for predicting three month post liver transplantation survival. We performed experiments on the United Nations Organ Sharing dataset, with a 10-fold cross-vali
26#
發(fā)表于 2025-3-26 04:03:09 | 只看該作者
27#
發(fā)表于 2025-3-26 05:36:29 | 只看該作者
28#
發(fā)表于 2025-3-26 11:46:45 | 只看該作者
29#
發(fā)表于 2025-3-26 15:44:20 | 只看該作者
Jurisdiction and the Dutch Collective Actionand artificial neural networks to predict compressed air energy consumption in a manufacturing facility is presented. Predictions made using DM were consistently more accurate than those found using traditional approaches when the training period was greater than two months.
30#
發(fā)表于 2025-3-26 17:48:12 | 只看該作者
Exploding and Peculiar Galaxies,e year. Our main objective is to device a light weight prediction for the bulk of companies with fair accuracy, useful enough for algorithmic trading. We present a minimal discussion on these classical models followed by our Spark RDD based implementation of the proposed fast forecast model and some results we have obtained.
 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, 2025-10-12 10:35
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
泰来县| 乌拉特后旗| 明水县| 高要市| 山阴县| 南澳县| 筠连县| 鄯善县| 石棉县| 宁明县| 铜山县| 内丘县| 隆化县| 日喀则市| 金川县| 清流县| 深泽县| 青神县| 龙海市| 固镇县| 留坝县| 阜平县| 左贡县| 通许县| 丹凤县| 北宁市| 东源县| 宣威市| 眉山市| 沐川县| 安平县| 勃利县| 佛冈县| 凌云县| 普兰县| 江华| 五原县| 吉安市| 昌江| 论坛| 沙湾县|