What Is Another Term Used to Describe Data Mining

Data mining goes beyond the search process as it uses data to evaluate future probabilities and develop actionable analyses. It is closely related the term Analytics that we discussed earlier in that you mine the data to do analytics.

Data Mining Vs Data Warehousing Javatpoint

In earlier times data mining was referred to as slicing and dicing the database but the practice is more sophisticated now and terms like association clustering and regression are commonplace.

. Data mining treats as a synonym for another popularly used term Knowledge Discovery from Data or KDD. Why is data mining important. It refers to extraction of desired information from huge data available in www or databases.

Assay foot metre inch centimetre - The assay value multiplied by the number of feet metres inches centimetres across which the sample is taken. It does this using three primary models or types. Data mining is most commonly defined as the process of using computers and automation to search large sets of data for patterns and trends turning those findings into business insights and predictions.

In others view data mining as simply an essential step in the process of knowledge discovery in which intelligent methods are applied in. Automatic pattern predictions based on trend and behaviour analysis. Data mining is a process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning statistics and database systems.

The descriptive model which finds patterns and relationships in current data. At a more granular level data mining is a step in the knowledge discovery in databases KDD process a data science methodology for gathering processing and analyzing data. Heres a list of similar words from our thesaurus that you can use instead.

Data Mining is also alternatively referred to as data discovery and knowledge discovery. Noun Phrase Thousands of businesses rely on data mining techniques to manage the information they receive every second. Data mining is an automatic or semi-automatic technical process that analyses large amounts of scattered information to make sense of it and turn it into knowledge.

Data mining can be used to describe current patterns and relationships in data predict future trends or detect anomalies or outlier data. Data mining is about finding meaningful patterns and deriving insights in large sets of data using sophisticated pattern recognition techniques. Comparative analytic is a special type of data mining technology which compares large data sets multiple processes or other objects using statistical strategies such as filtering decision tree analytics pattern analysis etc.

It is the main component in data mining system. It looks for anomalies patterns or correlations among millions of records to predict results as indicated by the SAS Institute a world leader in business analytics. Data Mining This term originally referred to a subfield of statistics.

This information can be used for any of the following applications Market Analysis Fraud Detection Customer Retention Production Control Science Exploration Data Mining Engine. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information with intelligent methods from a data set and transform the information into a. Focus on large data sets and databases for analysis.

Need synonyms for data mining. The use of techniques for the analysis of large collections of data and the extraction of useful and possibly unexpected patterns in data. Who uses data mining.

Mining of Data involves effective data collection and warehousing as well as computer processing. Creation of decision-oriented information. Noun Phrase Companies can use their internal figures in the MIS to measure the effectivess of their external data mining techniques.

It has many applications of which few of them are market analysis customer retention fraud detection science exploration disease analysis etc. Prediction based on likely outcomes. WHAT IS DATA MINING.

One version of data mining software tracks the eligibility of students for federal Medicaid benefits. Assay - A chemical test performed on a sample of ores or minerals to determine the amount of valuable metals contained. Use cases and examples.

The predictive model which is used to predict future outcomes. Complex Event Processing CEP. Sentences with data-mining.

Noun Phrase Many firms have filled this need by. Act of collecting data. Data mining is also known as Knowledge Discovery in Data KDD.

A data preparation activity that converts continuous data to discrete data by replacing a value from a continuous range with a bin identifier where each bin represents a range of values. Data mining and KDD are sometimes referred to interchangeably but theyre more commonly seen as distinct things. Data mining also goes by the less-used term knowledge discover in data or KDD.

What is another term for data mining. In some sense the goal of all statistics is to analyze and summarize data but data mining is or at least was originally the field of statistics that focused on large high dimensional data sets. Commercial point of view.

Want to Know the Path to Become a. Data Mining Data mining is defined as extracting the information from a huge set of data. In other words we can say that data mining is mining the knowledge from data.

It makes use of sophisticated mathematical algorithms for segmenting the data and evaluating the probability of future events. For example age could be converted to bins such as 20 or under 21-40 41-65 and over 65. Key features of data mining.

Data mining applications range from the financial sector.

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