Question

英文翻译 在线等 急急急~~~~~

In our study CHAID decision trees – one of the data mining algorithms -, which is the best way to identify financial profiles of SMEs and determine financial characteristics thereof, were used. Data mining is a method, which was introduced in 1990s first and has become widely used in 2000s. Bolshavoka et al, (2005) indicated that “the fast growth of data collections in sciences and business applications as well as the need to analyze and extract useful knowledge from this data leads to a new generation of tools and techniques grouped under the term data mining”. Koyuncugil (2004) defined data mining as the analysis of data with the intent to discover gems of hidden information in the vast quantity of data that has been captured in the normal course of running the business. Data mining is different from conventional statistical analysis. Data mining requires building a business intelligence (BI) decision-support application, specifically a data mining application, using a data-mining tool. The data mining application can then use a sophisticated blend of classical and advanced components like artificial intelligence, pattern recognition, databases, traditional statistics, and graphics to present hidden relationships and patterns found in the organization's data pool (Koyuncugil, 2004). Berson et al. (2000) implied that: “data mining is a collection of techniques that aim to find useful but undiscovered patterns in collected data. The goal of data mining is to create models for decision-making that predict future behaviors based on analyses of past activity."

Answer 1

在我们的研究交互决策树-一个数据挖掘算法- ，这是最好的方式，以确定中小企业财务状况，并确定财务特征时，使用了。数据挖掘是一种方法，它是在20世纪90年代第一次，已成为广泛应用在2000年。 Bolshavoka等，
（ 2005年）指出， “快速增长的数据收集工作的科学和商业应用软件以及需要进行分析和提取有用的知识从这一数据导致新一代的工具和技术归入长期数据挖掘” 。 Koyuncugil （ 2004 ）定义为数据挖掘的数据进行分析的意图是发现隐藏信息的瑰宝
rmation在大量的数据，已被抓获的正常运行过程中的业务。数据挖掘是不同于常规的统计分析。数据挖掘需要建立一个商务智能（ BI ）决策支持应用，特别是数据挖掘应用，使用的是数据挖掘的工具。数据挖掘
应用程序然后可以使用一个复杂的融合古典和先进功能部件，例如人工智能，模式识别，数据库，传统的统计数据和图形向隐藏的关系和模式发现在该组织的数据池（ Koyuncugil ， 2004年） 。博生等人。 （ 2000年）暗示说： “数据挖掘是一家集技术，目的是找到有用的，但尚未发现的模式收集到的数据。的目标，数据挖掘是建立模型的决策预测未来行为的基础上分析过去活动。 “