Application of Data Warehouse and Data Mining in the Steel Enterprise Information Integration System

2014 ◽  
Author(s):  
Shenglei Pei ◽  
Guoqing Jia
Keyword(s):  
Data Mining ◽  
Data Warehouse ◽  
Information Integration ◽  
Enterprise Information ◽  
Integration System

Research into Framework of Real-Time Data Integration System

2013 ◽  
Vol 310 ◽  
pp. 605-608 ◽  
Author(s):  
Xiao Bin Wang ◽  
Qing Jun Wang ◽  
Ming Yu Bao
Keyword(s):  
Data Integration ◽  
Information Management ◽  
Information Integration ◽  
Management Systems ◽  
Time Data ◽  
Enterprise Information ◽  
Integration System ◽  
Data Integration System ◽  
Information Management Systems ◽  
Mutual Communication

Modern enterprises have established many information management systems based on management of enterprise information. But any of the systems can only manage information of a department, and even on different task directions in the same department there are many information management systems. Between these systems, it is hard to realize mutual contact or data sharing, not even coordinated work. How to establish an information integration mechanism to make these systems share data for coordinated work and values as 1+1>2 becomes the problem to be solved by modern enterprises in an earnest status. As an effective method to reach mutual communication between data of the isomeric systems, the data integration system can shield off the isomerism of systems it covers and unify the data modes of these systems. Then, mode shifting is made between different systems to make these systems have the same mode on the data integration layer, to provide convenience for mutual communication between these systems, to reduce the coupling of the whole system and to provide operation function of the enterprise.

UTILIZING DATA MINING TO DISCOVER KNOWLEDGE IN CONSTRUCTION ENTERPRISE PERFORMANCE RECORDS/UTILIZUOTAS DUOMENŲ KAUPIMAS

2008 ◽  
Vol 14 (2) ◽  
pp. 79-84 ◽  
Author(s):  
Jen-Rong Lee ◽  
Sung-Lin Hsueh ◽  
Hung-Ping Tseng
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Customer Service ◽  
Information Integration ◽  
Domain Knowledge ◽  
Enterprise Information ◽  
Automatic Data ◽  
Construction Enterprise ◽  
New Information ◽  
Using Data

Although Data Mining (DM) has been applied extensively in information systems and identified as a crucial tool for automatic data analysis and enterprise knowledge inference, still the practicability of DM has been little explored in the construction industry in particular. This study is conducted using data from actual practice in the customer service department of the target enterprise. Starting with data preparation, decision tree analysis and domain knowledge inference, practical verification is performed and previously unknown knowledge is discovered. Two practical barriers to enterprise information mining are found: the separation of information among various information systems and lack of key information attributes. Hence, there is a significant limitation on practical information data mining to generate new information, and only with a proper information integration one can benefit from the potential practical application of DM. Santrauka Nors duomenų ryšys buvo plačiai taikomas informacinėse sistemose ir apibrėžiamas kaip pagrindinė priemonė duomenims automatiškai analizuoti ir įmonės žinioms pateikti, tačiau praktinis jo taikymas statybos pramonėje buvo mažai nagrinėtas. Šis tyrimas atliktas naudojantis praktine informacija, surinkta Tikslinių įmonės vartotojų paslaugų departamente. Pradedant duomenų rengimu, sprendimo medžio analize ir įmonės žinių pateikimu, yra atliekamas praktinis tikrinimas ir identifikuojamos prieš tai nenustatytos žinios. Atrasti du praktiniai duomenų ryšio kliuviniai: skirtingų informacijos sistemų informacijos atskyrimas ir pagrindinių informacijos atributų trūkumas. Tai yra didelis praktinės informacijos duomenų ryšio apribojimas, trukdantis naujai informacijai kurti. Tik tinkamai integruojant informaciją, galima pasiekti naudos iš praktinio duomenų ryšio taikymo.

Based on CIMS Application of Small and Medium-Sized Enterprise Information System Integration

2014 ◽  
Vol 912-914 ◽  
pp. 1177-1180
Author(s):  
Yao Hua Wu
Keyword(s):  
Information Integration ◽  
System Integration ◽  
Small And Medium Enterprises ◽  
Market Competition ◽  
Rapid Development ◽  
Enterprise Information System ◽  
Enterprise Information ◽  
Integration System ◽  
Manufacturing Enterprises ◽  
Medium Enterprises

With the rapid development of market economy, enterprises face more intense market competition, especially manufacturing enterprises face huge challenges. How to shorten product time to market, improve product quality, reduce costs and provide high quality service is the enterprise in competition at the core of the problem. The development of CIMS conform to the trend of the development of manufacturing and computer today. In this paper, the information integration system based on CIMS application prospect in small and medium enterprises are analyzed and predicted, and the domestic small and medium-sized enterprises as an example of application in the enterprise information integration system based on CIMS problems are analyzed.

Implementing Master-Slave P2P Mapping Paradigm in Semantic Enterprise Information Integration: An Illustrative Case Study

2013 ◽  
Vol 455 ◽  
pp. 434-437
Author(s):  
Jing Tao Zhou
Keyword(s):  
Information Integration ◽  
Semantic Information ◽  
Data Sources ◽  
Illustrative Case ◽  
Enterprise Information ◽  
Integration System ◽  
Loosely Coupled ◽  
Illustrative Case Study

Master-slave P2P mapping principle proposed in our previous work [ is a semantic P2P mapping paradigm with modularity and loosely coupled characteristics. The intent of this paper is to define a common case study of this paradigm for the semantic information integration. The domain of the case study is a semantic P2P information integration system called SGII[, i.e., system that help in information coordinating and interoperating by orchestrating the content and formalization expression of master-slave P2P mapping between elements from different peer node models which represent the data exposed (shared) by data sources. Furthermore, an illustrative example of master-slave P2P mapping paradigm is given to explain how the mappings are implemented and to demonstrate the paradigm can hence be applied in semantic information integration scenarios.

Study and application of data mining and data warehouse in CIMS

2003 ◽  
Author(s):  
Lijuan Zhou ◽  
Chi Liu ◽  
Daxin Liu
Keyword(s):  
Data Mining ◽  
Data Warehouse

scholarly journals A Pattern Storage System using Pattern Warehouse along with Sources of Pattern Generation and Applications

2019 ◽  
Vol 8 (10S) ◽  
pp. 357-362
Keyword(s):  
Data Mining ◽  
Data Warehouse ◽  
Storage System ◽  
Critical Evaluation ◽  
Large Data ◽  
Vital Role ◽  
Pattern Generation ◽  
Data Repository ◽  
Storage Unit ◽  
Data Mining Algorithms

Now a day different data mining algorithms are ready to create the specific set of data known as Pattern from a huge data repository, but there is no infrastructure or system to save it as persistent storage for the generated patterns. Pattern warehouse presents a foundation to make these patterns safe in the specific environment for long term use. Most organizations are excited to know the information or patterns rather than raw data or group of unprocessed data. Because extracted knowledge play a vital role to take right decision for the growth of an organization. We have examined the sources of patterns generated from large data sets. In this paper, we have presented little importance on the application area of pattern and idea of patter warehouse, the architecture of pattern warehouse then correlation between data warehouse and data mining, association between data mining and pattern warehouse, critical evaluation between existing approaches which theoretically published and more stress on association rule related review elements. In this paper, we analyze the patterns warehouse, data warehouse concerning various factors like storage space, type of storage unit, characteristics, and provide several research domains.

Sign in / Sign up

Export Citation Format

Share Document