Int. J. Bus. Intell. Res.最新文献_第6页

Application of Six Sigma to Achieve Sales Lifecycle Optimization 应用六西格玛实现销售生命周期优化

Int. J. Bus. Intell. Res. Pub Date : 2014-10-01 DOI: 10.4018/IJBIR.2014100101

Victoria Nacarelli

引用次数: 12

An Investigation of BI Implementation Critical Success Factors in Iranian Context 伊朗背景下商业智能实施关键成功因素的调查

Int. J. Bus. Intell. Res. Pub Date : 2014-07-01 DOI: 10.4018/ijbir.2014070104

Ahad Zare Ravasan, Sogol Rabiee Savoji

引用次数: 25

A Comparison of Simultaneous Confidence Intervals to Identify Handwritten Digits 同时置信区间识别手写数字的比较

Int. J. Bus. Intell. Res. Pub Date : 2014-07-01 DOI: 10.4018/ijbir.2014070103

Nicolle Clements

引用次数: 9

Exploring Big Data Opportunities for Online Customer Segmentation 探索在线客户细分的大数据机会

Int. J. Bus. Intell. Res. Pub Date : 2014-07-01 DOI: 10.4018/ijbir.2014070105

Georgia Fotaki, M. Spruit, S. Brinkkemper, D. Meijer

{"title":"Exploring Big Data Opportunities for Online Customer Segmentation","authors":"Georgia Fotaki, M. Spruit, S. Brinkkemper, D. Meijer","doi":"10.4018/ijbir.2014070105","DOIUrl":"https://doi.org/10.4018/ijbir.2014070105","url":null,"abstract":"In today's competitive business environment, more and more organizations move or extent their business online. Thus, there is an increasing need for organizations to build concrete online marketing strategies in order to engage with their customers. One basic step towards achieving the objectives related to online marketing is the segmentation of online customers, based on the customer data gathered online. Since there is an onslaught of customer information collected from online sources, new techniques are required for managing and analyzing the huge amount of data, and this is where the concept of Big Data can play an essential role. This research sheds light on three fields: Online Marketing, Customer Segmentation, and Big Data Analytics. The three domains are integrated into the Online Customer Segmentation (OCS) framework, which attempts to show how online marketing objectives can be supported by techniques and tools applicable to extremely large datasets. For the creation of the OCS framework a set of main online marketing objectives is defined. Moreover, the differences among customer attributes gathered from offline and online channels are discussed and OCS categories are identified. Finally, the concept of Big Data is introduced and relevant techniques and tools suitable for analyzing customer segmentation categories and segmenting customers effectively are described. This work demonstrates the OCS framework by applying it on a hypothetical business scenario using an online customer data set.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121125163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Pattern Retrieval through Classification from Pattern Warehouse: Issues and Challenges 从模式仓库中通过分类进行模式检索:问题与挑战

Int. J. Bus. Intell. Res. Pub Date : 2014-07-01 DOI: 10.4018/ijbir.2014070101

R. S. Thakur, Vivek Tiwari

{"title":"Pattern Retrieval through Classification from Pattern Warehouse: Issues and Challenges","authors":"R. S. Thakur, Vivek Tiwari","doi":"10.4018/ijbir.2014070101","DOIUrl":"https://doi.org/10.4018/ijbir.2014070101","url":null,"abstract":"The pattern is special kinds of data which are created through various data mining techniques and stored in the pattern warehouse through a specialized pattern management system (PMS). Pattern warehouse makes the pattern non-volatile or persists. Now a day's persistent pattern retrieval is a very new and important issue. This paper focuses on problems and challenges with pattern retrieval. One can see the applicability of classification in pattern retrieval as an opportunity and trying to bring attention to probable issues and challenges behind the physical implementation of this concept. This paper concluded that the applicability of classification in pattern retrieval is well feasible. It has also discussed that how of pattern classification is different with data's classification. Classification method should be defined in such a way that it can handle pattern efficiently. So far, little emphasis has been posed on developing an overall classification system for pattern retrieval. This paper concerns only association kinds of patterns. It has presented some issues regarding (i) Decision boundary of pattern classes. (ii) Problem of calculating a reliable estimate of pattern classes. (iii) How to define class boundary (iv) How to handle overlapping of pattern classes (v) Parameter selection for pattern classes estimation (v) Preprocessing of patterns (vi) How to handle classification on demand. (vii) Updating of pattern classes (vii) Finding optimal test conditions.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133205644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

A Data Mining Approach for Risk Assessment in Car Insurance: Evidence from Montenegro 汽车保险风险评估的数据挖掘方法:来自黑山的证据

Int. J. Bus. Intell. Res. Pub Date : 2014-07-01 DOI: 10.4018/ijbir.2014070102

Ljiljana Kašćelan, Vladimir Kašćelan, Milijana Novovic-Buric

引用次数: 4

Vintage Analytics and Data Warehouse Design 复古分析和数据仓库设计

Int. J. Bus. Intell. Res. Pub Date : 2014-04-01 DOI: 10.4018/ijbir.2014040104

I. Millet, S. Andaleeb, J. Fizel

引用次数: 3

Data Mining Approach to Decision Support in Social Welfare 社会福利决策支持的数据挖掘方法

Int. J. Bus. Intell. Res. Pub Date : 2014-04-01 DOI: 10.4018/ijbir.2014040103

Ricardo Anderson, Gunjan Mansingh

引用次数: 12

Organizational Sustainability: Aspects of Agility 组织可持续性:敏捷性的各个方面

Int. J. Bus. Intell. Res. Pub Date : 2014-04-01 DOI: 10.4018/ijbir.2014040102

H. Rahman

{"title":"Organizational Sustainability: Aspects of Agility","authors":"H. Rahman","doi":"10.4018/ijbir.2014040102","DOIUrl":"https://doi.org/10.4018/ijbir.2014040102","url":null,"abstract":"An organization with its capacity to endure, add value and promote value chain could be seen as a sustainable organization. Sustainability could be in the form of short-medium-and-long term effect to an entity. To an organization, in this global economic crisis and increased competition, long term sustainability means to be able to compete, gain margin, and add knowledge, notwithstanding mere survival. Through the utilization of the information and communication technology, organizations are now can adopt various business techniques to tackle or minimize risks, reduce costs, and make profit. Among many such techniques, this particular research looks into the aspects of agility within organizations that may lead to sustained business platform. This paper tries to argue that an organization with this characteristic, in the longer run, can lead to sustainability and elevate the business intelligence. In discourse, through a vertical literature review, this study has tried to construct a framework of sustainability with this aspect of an organization and thereby proposed a business model for ideation and future implementation. The research intends to add values to operational capability of an organization, especially considering challenging situations, such as lack of awareness, low financial capability, and high risk of investment within the social and organizational eco-systems.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121885570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The Construction of Economic Intelligence as an Academic Discipline: A Theoretical Perspective 经济智能学科建设:一个理论视角

Int. J. Bus. Intell. Res. Pub Date : 2014-04-01 DOI: 10.4018/ijbir.2014040101

Florian Fougy

引用次数: 3