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What does data mining mean and how is it done?
Data mining is a computer science which extract patterns in data sets. It can be used to predict which people are most likely to respond to a sales offer or what type of garment is preferred by a certain type of customer.
What tasks are data mining tools used for?
Data mining tools allow the extraction of information on websites. These can be used to predict markets, provide a way to address customers directly, give an overview over existing companies as well as news aggregation.
What is the definition of k-means in data mining?
K-means clustering is a data mining learning algorithm used to cluster observations into groups of related observation without any prior knowledge of those relationships.
Describe the Data Mining Functions Data Mining Techniques?
Data mining refers to the broadly-defined set of techniques involving finding meaningful patterns - or information - in large amounts of raw data. At a very high level, data mining is performed in the following stages (note that terminology and steps taken in the data mining process varies by data mining practitioner): 1. Data collection: gathering the input data you intend to analyze 2. Data scrubbing: removing missing records, filling in missing values where appropriate 3. Pre-testing: determining which variables might be important for inclusion during the analysis stage 4. Analysis/Training: analyzing the input data to look for patterns 5. Model building: drawing conclusions from the analysis phase and determining a mathematical model to be applied to future sets of input data 6. Application: applying the model to new data sets to find meaningful patterns Data mining can be used to classify or cluster data into groups or to predict likely future outcomes based upon a set of input variables/data. Common data mining techniques and tools include, for example: a. decision tree learning b. Bayesian classification c. neural networks During the analysis phase (sometimes also called the training phase), it is customary to set aside some of the input data so that it can be used to cross-validate and test the model, respectively. This is an important step taken in order to to avoid "over-fitting" the model to the original data set used to train the model, which would make it less applicable to real-world applications.
What are some examples of data mining techniques?
Although there are a number of data mining techniques there are three that are most commonly used. These common techniques include decision trees, artificial neutral networks and the nearest-neighbour method. These techniques each analyze data in different ways.
In what way SAS related to DATA mining in Bioinformatics?
SAS is statistical software that can be used as a tool for data mining.
What would you use the Data Management Software program for?
Data management software is used for the collection, compilation, and sorting of large amounts of stored data. It is used to allow data access for users; which can be human or other software programs that need to use the data.
What is surpac?
Software used in Mining Engineering and Geology
What is directed data mining and undirected data mining in database?
Directed data mining involves using predefined goals or objectives to guide the analysis and modeling of data. In contrast, undirected data mining aims to discover patterns or relationships in data without specifying a particular outcome in advance. Directed data mining is typically used for tasks such as classification and regression, while undirected data mining techniques include clustering and anomaly detection.
what is Data Mining?
AnswerWhat is data mining?Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databasesData Mining is a field of study within Computer Science. It is part of the process of Knowledge Discovery from Databases (KDD). The aim of data mining is to find novel, interesting and useful patterns from data using algorithms (methods of finding such information) that will do it in a way that is more computationally efficient than previous methods.Knowledge Discovery and Data Mining has increased in popularity because of the large amount of stored data that came about as computer storage became cheaper. From this, there was a need to understand it, and techniques to convert data into information are being continually developed and improved.Data mining techniques usually fall into two categories, predictive or descriptive. Predictive data mining uses historical data to infer something about future events. Descriptive data mining aims to find patterns in the data that provide some information about what the data contains.How can data mining affect you?Data mining can be used for several purposes by different people and organisations. The most notable users of data mining come from commercial, scientific or government backgrounds.Commercial entities may use the information gathered through data mining techniques to help discover something about their consumers, to help market their products better. Data mining is also used by search engines, such as Google to mine web pages for information relating to your specific search query.Scientific communities may benefit from data mining by using it to find anomalies, clusters or co-locations to name a few. For example, they could discover a relationship between people getting cancer and the location of a chemical plant.The government could use data mining techniques to uncover patterns in their data. For example, data mining is used to find unusual patterns in the stock marketin order to detect insider trading. Data mining is also used to detect scams sent by email. It could also be used to find unusual behaviour to prevent a terrorist attack.There are many more applications of data mining, which are continually being expanded. The main requirement for performing data mining is suitable data.
What is data where housing and mining?
it's data warehouse....data warehouse: it is a collection of multiple databases or it it is repository of data.data mining it is the process of extracting data from data warehouse.
What is the OmniForm software used for?
The Omniform software is used for extrapolating the data exported from a data drive. The purpose of this software is to fragment the data in a way that is presentable to another programmer to continue working off of.
How data mining used in health sector?
this is what i want to see !!
What is datamining and softwarehouses?
Data mining, a branch of computer science, is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. Data mining is seen as an increasingly important tool by modern business to transform data into business intelligence giving an informational advantage. It is currently used in a wide range of profiling practices, such as marketing, surveillance, fraud detection, and scientific discovery. A software house is a company whose primary products are software.
What software can be used to store clinical data?
A clinical data management software system (CDMS) is used to store clinical data. It is specially designed software built to reduce the possibility of incorrect data entry due to human error.
How do digital dashboard and data mining applications differ from transaction processing applications?
Digital dashboard and data mining applications do not generate new data, but instead are used to summarize existing data to provide information to management
Where the data dictionary used in software engineering?
example of data dictionary
