دانلود رایگان
دانلود رایگان Discovering business intelligence from online product reviews: A rule-induction framework
لینک دانلود رایگان مقاله:http://s8.picofile.com/file/8299560476/_A686.pdf.htmlDiscovering business intelligence from online product
reviews: A rule-induction framework
موضوع مقاله : کشف هوش کسب و کار از بررسی های آنلاین محصولات
چارچوب
قاعده استقرایی (قیاسی)
چکیده
بررسی
آنلاین محصولات، منبع مهمی برای هوش کسب و کار (BI) محسوب می شود
که به مدیران و بازاریابان در درک دغدغه ها و علایق مشتریان کمک می کند. حجم زیاد
داده های بررسی شده کار تحلیل دغدغه های مشتریان را به صورت دستی دشوار می سازد.
بدین منظور، برای آسان کردن این تجزیه و تحلیل، ابزارهای اتوماتیک به وجود آمده اند.
با این حال بیشتر این ابزارها فاقد توانایی در استخراج روابط بین عبارات غنی بررسی
شده و رتبه بندی مشتری می باشند. مدیران و بازاریابان اغلب برای پیدا کردن رابطه
ها به صورت دستی به خواندن بازدید های حجیم کلی روی می آورند. به منظور پرداختن به
این چالش ها، شرح و بسط دسته جدیدی از سیستم های BI را بر اساس تئوری
مجموعه های سخت، یادگیری قاعده استقراء و روش های بازیابی اطلاعات پیشنهاد کردیم.
چارچوب جدیدی را برای طراحی سیستم های BI ایجاد کردیم که بر اساس این رابطه بین دسته
بندی های مشتری و بررسی هایشان را می توان استخراج کرد. با استفاده از بازدید
محصولات مختلف از روی Amazon.com،
آزمایش های کیفی و کمی را برای ارزیابی عملکرد سیستم BI که بر اساس
چارچوب توسعه یافته انجام دادیم. نتایج نشان می دهد که سیستم به دقت بالایی دست یافته
و پوشش موجود مرتبط با کیفیت قاعده است. همچنین قوانین جالب وآموزنده ای با پشتیبانی
بالا و ارزش اعتماد ارائه شده است. یافته ها حاوی پیامدهای مهمی برای تجزیه و تحلیل
تمایلات بازار و مدیریت اعتبار تجارت الکترونیک است.
کلمات
کلیدی: تجارت الکترونیک، بررسی آنلاین، داده کاوی، متن کاوی، تئوری
مجموعه راف، کاوش قواعد وابستگی، هوش کسب و کار، اعتبار آنلاین
1.
مقدمه
زمانی که
تجارت الکترونیک از تعامل بیشتر میان کاربران با برنامه های 2.0 وب پشتیبانی می
کند، محتوای تولید شده توسط کاربر که در این سایت ها مطرح شده به طور قابل توجهی
در حال رشد است. کاربران نه تنها از محتوای وب بهره می برند، بلکه همچنین داده های
حجیمی از مشارکت شان را تولید می کنند که اغلب بر تصمیم گیری های کاربران دیگر نیز
اثر می گذارد. مطالعه ای نشان می دهد که بیش از سه چهارم از 2078 کاربر گزارش کرده
اند که بررسی محصولات آنلاین تاثیر بسزایی بر تصمیم
Discovering
business
intelligence
from
online
product
reviews:
A
rule
induction
framework
مقاله
پاورپوینت
فایل فلش
کارآموزی
گزارش تخصصی
اقدام پژوهی
درس پژوهی
جزوه
خلاصه
Discovering business intelligence from online …
01/11/2012 · A rule-induction framework for discovering BI As the volume of online product reviews grows tremendously in recent years, many efforts have been put in analyzing and understanding these contents. Despite prior works in analyzing these reviews and in mining textual data, identifying rules and patterns from online reviews is not widely studied.
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Discovering business intelligence from online …
Discovering business intelligence from online product reviews: A rule-induction framework. Author links open ... Online product reviews are a major source of business intelligence ... We developed a framework for extracting relationship between online reviews and user ratings. Three rule-induction techniques were used in a BI ...
10 techniques and practical examples of data …
2) REGRESSION ANALYSIS TO MAKE MARKETING FORECASTS. To be able to tell the future is the dream of any marketing professional. So without having to resort to a crystal ball, we have a data mining technique in our regression analysis that enables us to study changes, habits, customer satisfaction levels and other factors linked to criteria such as advertising campaign budget, or similar costs.
E-Business for Accountants - Fudan University
Discovering business intelligence from online product reviews: a rule-induction framework.Expert Systems with Applications,2012,39(15):11870-11879 .
Using Online Hotel Customer Reviews to Improve the Booking ...
online booking services to travelers as an integral part of their business model. ... Discovering business intelligence from online product reviews: A rule-induction framework," Expert Syst. Appl. , vol. 39, no. 15, pp. 11870–11879, Nov. 2012.
10.1016/j.eswa.2012.02.059 | DeepDyve
Despite the widespread applications of RST, it is surprising to find little prior work on applying RST to discovering BI from online product reviews. 3 A rule-induction framework for discovering BI As the volume of online product reviews grows tremendously in recent years, many efforts have been put in analyzing and understanding these contents.
RIFT: A Rule Induction Framework for Twitter …
The rapid evolution of microblogging and the emergence of sites such as Twitter have propelled online communities to flourish by enabling people to create, share and disseminate free-flowing messages and information globally. The exponential growth of product-based user reviews has become an ever-increasing resource playing a key role in emerging Twitter-based sentiment analysis (SA ...
Discovering business intelligence from online …
Discovering business intelligence from online product reviews: A rule-induction framework Article in Expert Systems with Applications 39(15):11870–11879 · November 2012 with 82 Reads
E-Business for Accountants - Fudan University
Discovering business intelligence from online product reviews: a rule-induction framework.Expert Systems with Applications,2012,39(15):11870-11879 .
(PDF) Business Intelligence from Online Product …
Business Intelligence from Online Product Review-A Rough ... used for the purpose of discovering business intelligence with the help of ... online product reviews: A rule-induction framework.
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AnúncioCrie dimensões específicas que atendam às necessidades específicas da sua empresa. Defina dimensões para ajudar na conversão e identificar comportamentos para análise.
Discovering business intelligence from online …
01/11/2012 · A rule-induction framework for discovering BI As the volume of online product reviews grows tremendously in recent years, many efforts have been put in analyzing and understanding these contents. Despite prior works in analyzing these reviews and in mining textual data, identifying rules and patterns from online reviews is not widely studied.
[PDF] Using Online Hotel Customer Reviews to …
e-commerce field has developed to the point that more and more hotel companies provide online booking services to travelers as an integral part of their business model. Increasing numbers of hotel companies now provide such services as an integral part of their business model and their guests' experiences with their hotel. Some third-party services allow customers to add comments on each …
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AnúncioCrie dimensões específicas que atendam às necessidades específicas da sua empresa. Defina dimensões para ajudar na conversão e identificar comportamentos para análise.
Getting value from Business Intelligence systems: …
01/01/2017 · 1. Introduction ‘Business Intelligence’ (BI) has become an increasingly important concept with the availability of ‘big data’ and advances in machine intelligence .Receiving widespread interest in both academia and industry , BI systems are now used extensively in many areas of business that involve making decisions to create value.
Review Mining - A Modified Approach for …
In this paper we have explained the concepts and implementation detail of developing a framework which can be used for the purpose of discovering business intelligence from the customer reviews of a product or a service posted online on www.snapdeal.com after the use of that product. Existing work explained the analysis of single product i.e. Samsung S5 on the basis of star ratings given by ...
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AnúncioCrie dimensões específicas que atendam às necessidades específicas da sua empresa. Defina dimensões para ajudar na conversão e identificar comportamentos para análise.
Business intelligence from online product …
Business intelligence from online product review-a rough set based rule induction approach Abstract: In this paper we have explained the detailed work done in developing a framework which can be used for the purpose of discovering business intelligence with the help of decision rules induced from the customer reviews of a product or a service posted online.