Spss clementine 12 统计数据
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Ĭhallenges and limitations of BASS The invest of Hardware is large, and the enlargement is high cost. BASS includes data extract layer, data process layer, data display layer, application layer Main operation in data process layer is: Data extract from other system, Data transfer Data gather Data statics ... Based on database system, most of operation are deal in database, which realizes ELT(Extract, Load and Transfer), rather than ETL. What’s BASS BASS (Business Analysis Support System) is a BI system for CMCC to support enterprise decision-making, marketing management analysis, and sales. Service Optimization and Log Processing Spam Message Filtering …... Commercial database / data warehouse systems Commercial Data Mining Tools Most are running on Unix Servers, data stored in Storage Arrays The Requirements Current solution Clemetine Enterprise Miner Intelligent Miner Large Scale Data Applications and current solution Precision marketing Analysis of User Behavior Customer Churn Prediction Service Association Analysis …... Network Optimization Network QOS Analysis Singalling Data Analysis. Large scale data in China Mobile Communication Corporation (CMCC) Subscribers: 500 million Subscribers’ CDR(calling data record) data 5~8TB/day in CMCC For a branch company (> 20 million subscribers) Voice: 100million* 1KB = 100GB/day SMS: 100~200 million * 1KB = 100~200GB/day …... Network signaling data, for a branch company (> 20 million subscribers) GPRS signaling data: 48GB/day for a branch companies 3G signaling data: 300GB/day for a branch companies voice, SMS signaling data, …… Outline Introduce BC-PDM architecture Architecture Features compared between phase I and phase II Conclusions and Future works Conclusions Future works Parallel Data Mining Platform in Telecom Industry - Big Cloud based Parallel Data Mining Platform Friday, NYC Research Institute of China Mobile Communication Corporation Feng Cao Information on patterns of chronic disease-relevant risk factors could assist interventions targeting multiple behaviors simultaneously.Hw09 Hadoop Based Data Mining Platform For The Telecom Industry Conclusion: Chronic disease-relevant risk factors are intercorrelated among the adults in Haidian District. Among women, one pattern of chronic disease-relevant risk factor was identified, which suggested that inadequate intake of fruit and vegetables was associated with physical inactivity. Results: Among men, 5 patterns of chronic disease-relevant risk factors were identified, which suggested that heavy drinking, inadequate intake of fruit and vegetables, and physical inactivity were associated with smoking while inadequate intake of fruit and vegetables and smoking were associated with physical inactivity. SPSS Modeler 14.1 was used to explore the association among the chronic disease-relevant risk factors. SPSS 18.0 was used for statistical description and logistic regression. Methods: Data for chronic disease-relevant risk factors for 3 219 adults in Haidian District in 2014 were collected and analyzed.
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To investigate the association patterns of chronic disease-relevant risk factors for the adults in Haidian District.