Research on Data Mining Model of Intelligent Transportation Based on Granular Computing

نویسندگان

  • Xiao-Lan Xie
  • Xiao-Feng Gu
چکیده

Through the analysis of the relationship between current intelligence transportation and large data, after the theory of granular computing concepts involved in preliminary studies, For the current data mining of intelligent transportation ,we presents a Data Mining Model Of Intelligent Transportation Based on Granular Computing. Utilizing granular computing in data mining theory advantages, through constructing a new data mining model to solve the tlarge-scale, complexity, uncertainty and ambiguity problems of massive data from intelligent transportation. Keyword: Intelligent Transportation; Granular Computing; Data Mining ;Data granulated

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Toward the Design of Rural Intelligent Public Transportation System Rural Public Transportation of Iran

In order to improve the level of intelligence, availability, being on demand, convenience, information and humanization of rural public transportation systems, they are more willing to use modern information and communicative technologies. In addition to management services, intelligent transportation systems can provide passengers, drivers, travel agencies and other institutions with other ser...

متن کامل

Application of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters

The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...

متن کامل

Entropy-based Consensus for Distributed Data Clustering

The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...

متن کامل

Application of statistical techniques and artificial neural network to estimate force from sEMG signals

This paper presents an application of design of experiments techniques to determine the optimized parameters of artificial neural network (ANN), which are used to estimate force from Electromyogram (sEMG) signals. The accuracy of ANN model is highly dependent on the network parameters settings. There are plenty of algorithms that are used to obtain the optimal ANN setting. However, to the best ...

متن کامل

Intelligent Mapping

This paper is directed to the question of how to model and design an efficient tool for the intelligent mapping which is based on both dynamic and efficient storage of data and soft computing. The former is performed by our method that learns how to store, search and delete the data. After pointing out the limitation of the crisp evaluation of the distance between two points, we argue in favor ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016