Research on E-Commerce Intelligence Based on IOT and Big Data

2014 ◽  
Vol 496-500 ◽  
pp. 1889-1894 ◽  
Author(s):  
Zhen Long Peng ◽  
You Lan Huang
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Business Intelligence ◽  
Computer Network ◽  
Behavior Pattern ◽  
Deep Mining ◽  
Big Data Mining ◽  
Computing Center ◽  
Personal Behavior ◽  
Consumption Prediction

The computer technology together with network technology, communication technology have built a complex basic platform of computer network and a middle platform network which relate human to human, human to machine and machine to machine. Hundreds of millions of GB data generated from these platforms is stored in Cloud Computing Center. Based on this background, the paper analyzes the historical inevitability of IOT and big data, expounds the concept, process and methods of big data mining, and analyzes the natural relationship between big data mining and business intelligence. Through the deep mining of big data, its an unchangeable trend for us to grasp the user or personal behavior pattern and make marketing decision and overall consumption prediction, and then to achieve a comprehensive and advanced business intelligence.

scholarly journals Big data mining and business intelligence trends

2017 ◽  
Vol 7 (1) ◽  
pp. 23-33 ◽  
Author(s):  
Harun Bayer ◽  
Mustafa Aksogan ◽  
Enes Celik ◽  
Adil Kondiloglu
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Business Intelligence ◽  
Big Data Mining

scholarly journals CHALLENGES IN TEXT MINING FOR BUSINESS INTELLIGENCE

2020 ◽  
Vol 5 (2) ◽  
pp. 301-304
Author(s):  
Devendra Kumar Mishra
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Business Intelligence ◽  
Large Datasets ◽  
Digital Data ◽  
The Internet ◽  
Distributed Environment ◽  
Huge Amount ◽  
Big Data Mining ◽  
Extract Information

Today is the era of internet; the internet represents a big space where large amounts of data are added every day. This huge amount of digital data and interconnection exploding data. Big Data mining have the capability to retrieving useful information in large datasets or streams of data. Analysis can also be done in a distributed environment. The framework needed for analysis to this large amount of data must support statistical analysis and data mining. The framework should be design in such a way so that big data and traditional data can be combined, so results that come analyzing new data with the old data. Traditional tools are not sufficient to extract information those are unseen.

Cloud-Based Big Data Mining & Analyzing Services Platform Integrating R

2013 ◽  
Author(s):  
Feng Ye ◽  
Zhi-Jian Wang ◽  
Fa-Chao Zhou ◽  
Ya-Pu Wang ◽  
Yuan-Chao Zhou
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Big Data Mining
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