DataMining相关论文
Alloys designed with the traditional trial and error method have encountered several problems, such as long trial cycles......
目的:采用数据挖掘方法分析《中国百年百名中医临床家丛书》辨治胃脘痛的用药规律，为临床诊治胃脘痛提供参考。方法:收集《中国百年......
目的:基于数据挖掘和网络药理学方法，探究贾跃进老中医临床治疗抑郁症的核心组方及其作用机制。方法:收集2016年1月1日－2020年7月1日......
Study on prescription and medication rules of Hua Baojin for treatment of colorectal cancer based on
Objective: To study the prescription and medication rule of Professor Hua Baojin in the treatment of colorectal cancer t......
随着高级量测体系在电网中的应用,基于数据驱动的窃电检测方法成为发现窃电的主要手段.然而,由于“异常淹没”现象,即一些窃电用户......
目的:探讨中医药治疗克罗恩病的用药规律，为临床用药及相关机制研究提供新的思路。方法:按照纳入和排除标准，收集2009—2020年治疗克......
Research on law of acupoints selection for acupuncture treatment of postpartum depression based on d
Objective: To obtain the rules of acupoint use and compatibility methods from RCT literature of acupunctureand moxibusti......
Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),Nat......
Objective: To explore the rules of acupuncture point selection in thetreatment of rheumatoid arthritis by applying data ......
Analysis on Characteristics of Typical Syndromes of Acquired Immune Deficiency Syndrome Based on the
Objective: To discover the population characteristics of the syndrome types of Acquired Immune Deficiency Syndrome.Metho......
Objective:To explore the core acupoints and combination rules of acupuncture therapy for postoperative urinary retention......
目的:采用数据挖掘方法分析古代方剂中治疗阴虚证方剂的用药规律，为临床以阴虚为基础证候疾病的辨治施药提供参考。方法:检索中国中......
Analysis of the rule of medication of compound Chinese traditional patent medicine for digestive sys
Objective: Based on the data mining method, explore the medication rules of Chinese patent medicines for the treatment o......
Towards a comprehensive understanding of p75 neurotrophin receptor functions and interactions in the
The role of neurotrophins in neuronal plasticity has recently become a strong focus inneuroregeneration research field t......
In this paper, we study the problem of employ ensemble learning for computer forensic. We propose a Lazy Local Learning ......
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The technique of data mining was provided to predict gas disaster in view of thecharacteristics of coal mine gas disaste......
The prediction of colorectal cancer (CRC) survivability has always been a challenging research issue.Considering the imp......
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In this paper,decision tree model is adopted to mining the most sensitive factors of bus vehicle fuel consumption,based ......
Improved Algorithms for Trip-Chain Estimation of the Student Group Derived from Smart Card and Bus G
Recently,the introduction of bus GPS data acquisition devices has brought another way to analyse the trip-chains of pass......
The design of exhaust hood is a typical high dimensional,expensive computational and black box problem.Multi-Point Searc......
According to the results of classroom feedback,based on k-means algorithm,the system automatically push after-school exe......
我国自加入WTO以来,进出口贸易得到了迅速的发展,企业随着信息化建设的发展,积累了大量的业务数据.本文讨论了如何利用这些数据进......
With the promotion of urbanization,more and more people enjoy the happiness brought about by the urban development,but t......
At present,APT attack detection has become the focus of the network security protection _eld.APT attacks are one of the ......
The research of wearable sensor system has attracted wide attentions from academia and industry....
In this paper,we present a classification based system to discover knowledge and trends in higher education students pro......
Building database of "the consumer map" based on the theory of 4c,and mining the database to make the consumer segment......
Mining Positive and Negative Fuzzy Association Rules with Multiple Minimum Supports in Large Transac
Association rule is an important research topic in data mining and knowledge discovery.Traditional algorithms for mining......
This paper presents a new data mining approach based on grey model and clustering algorithm.The 2010 Shanghai World Expo......
In this paper,based on analyzing many previous algorithms such as Apriori,DHP,dEclat,Fp-growth,we propose a novel algori......
In the course of the questionnaire survey, somephenomenon-the slipping up in the works of theinvestigators；the unwilling ......
With increasingly intensified competitions in Modern Banking, the Modern Commercial Banks haveto adopt new technologies ......
Data mining technology is applied to the network intrusion detection,and Precision of the detection will be improved by ......
电信行业重组及3G时代的到来,使得运营商之间竞争越来越激烈,传统的营销方式已不能适应当前的需要,必须寻求新的精确营销模式.本文......
Construction Wisdom Oilfield Dynamic Precision Operations and Maintenance based on Multi-objective S
Huabei Erlian Oilfield is special alpine-cold region with low temperatures all year round.In the coming era of big data,......
Climatic warming impacts on winter wheat phenology and yield in China:Evidences from historical data
To learn the historical adaptations and future responses of wheat production to climatic warming can provide important r......
Identifying proper patients for single photon emission computerized tomography and computerized tomo
The present study was to identify proper patients who could benefit more from single photon emission computerized tomogr......
Research on a Needs Assessment Tool for the Korean Elderly at Home Focused on Their Desires and Deve
In this research we developed a tool to assess the needs of the elderly at home population by evaluating their physical,......
Clinical pathways are widely adopted by many large hospitals around the world in order to provide high-quality patient t......
Using a shotgun strategy coupled with high-throughput data mining to map the proteome of normal huma
Physiological processes are often associated with changes in protein expression,post-translational modification,and/or s......
Developing and characterising Ricinus communis L.SSR markers by data mining of whole-genome sequence
The castor plant, Ricinus communis L., is a versatile industrial oil crop that is cultivated worldwidely.Genetic improve......
Background: Currently in vogue, the main antitumor therapy is an antiangiogenic therapy, that widely thought could lead ......
