找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Marketing Intelligent Systems Using Soft Computing; Managerial and Resea Jorge Casillas,Francisco J. Martínez-López Book 2010 Springer-Verl

[復(fù)制鏈接]
樓主: Coarctation
11#
發(fā)表于 2025-3-23 11:44:32 | 只看該作者
Using Data Fusion to Enrich Customer Databases with Survey Data for Database Marketingn be different though. In real world applications, the number of sources over which this information is fragmented can grow at an even faster rate, resulting in barriers to widespread application of data mining and missed business opportunities. Let us illustrate this paradox with a motivating examp
12#
發(fā)表于 2025-3-23 14:19:48 | 只看該作者
Collective Intelligence in Marketingl customers. With the recent adoption of large-scale, Internet-based information systems, marketing professionals now face large volumes of complex data, including detailed purchase and service transactions, social network links, click streams, blogs, comments and inquiries. While traditional market
13#
發(fā)表于 2025-3-23 19:28:19 | 只看該作者
Predictive Modeling on Multiple Marketing Objectives Using Evolutionary Computationrough the dependent variable of interest. While standard modeling approaches embody single performance objectives, actual marketing decisions often need consideration of multiple performance criteria. Multiple objective problems typically characterize a range of solutions, none of which dominate the
14#
發(fā)表于 2025-3-24 01:54:34 | 只看該作者
15#
發(fā)表于 2025-3-24 02:41:53 | 只看該作者
16#
發(fā)表于 2025-3-24 07:07:52 | 只看該作者
17#
發(fā)表于 2025-3-24 11:48:31 | 只看該作者
Direct Marketing Based on a Distributed Intelligent SystemDirect Marketing has benefited from computational methods to model consumer preferences, and many companies are beginning to explore this strategy to interact with customers. Nevertheless, it is still an open problem how to formulate, distribute and apply surveys to clients, and then gather their re
18#
發(fā)表于 2025-3-24 16:52:18 | 只看該作者
Direct Marketing Modeling Using Evolutionary Bayesian Network Learning Algorithmscovering models represented as Bayesian networks from incomplete databases in the presence of missing values. It combines an evolutionary algorithm with the traditional . algorithm to find better network structures in each iteration round. A data completing method is also presented for the convenie
19#
發(fā)表于 2025-3-24 22:48:36 | 只看該作者
20#
發(fā)表于 2025-3-24 23:22:00 | 只看該作者
 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, 2025-10-12 11:14
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
鱼台县| 太谷县| 浙江省| 监利县| 伊川县| 岢岚县| 岐山县| 陆河县| 三河市| 衡山县| 绥阳县| 咸丰县| 花莲市| 郁南县| 宜兰市| 四平市| 许昌县| 新乐市| 七台河市| 景泰县| 灌南县| 南溪县| 朝阳县| 西林县| 上虞市| 枣庄市| 易门县| 湟中县| 南涧| 阿巴嘎旗| 防城港市| 车致| 溧水县| 咸丰县| 太和县| 龙岩市| 米易县| 曲水县| 泽库县| 南川市| 信宜市|