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Data Mining is a great resource for company's to be able to help them find resources on there current and future customers. This service. The benefits to the companies of today from these services are endless. It seems to be able in a lot of ways predict the future for many company's.
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Tools for collecting data analyzing data?
tools for collecting scientific data....one tool for recording,collecting, and analyzing data is a microscope :)))
What is the importance of statistical methods in business?
statistical methods are the kind of tools to extract knowledge from data and provide managers with more confidence in dealing with uncertainty in spite of the flood of available data.
What type of graph is appropriate for a set of data?
Different types of graphs are appropriate for different types of data.
What is the difference between numeric and non-numeric keys in RDBMS?
Numeric means a number is used. For a key, that would usually be an integer. Non-numeric keys can include any symbols (i.e., text). In theory, you could also use other specialized data types, for example, dates. Check the data types available by a specific RDBMS; details may vary. Almost any data type can be used for a key; although variable-length data types such as BLOB are either not supported or not practical to use.
What are the three useful tools for organizing data?
A table, a graph, and an equation.
Different types of data mining?
Some different types of data mining include clustering, classification, regression, association rule mining, and anomaly detection. Clustering involves grouping similar data points together, while classification involves categorizing data into predefined classes. Regression predicts a continuous value based on input variables, and association rule mining uncovers patterns in data sets. Anomaly detection identifies unusual or outlier data points.
What is data reduction in terms of data mining?
Data reduction in data mining refers to the process of reducing the volume of data under consideration. This can involve techniques such as feature selection, dimensionality reduction, or sampling to simplify the dataset and make it more manageable for analysis. By reducing the data, analysts can focus on the most relevant information and improve the efficiency of their data mining process.
List of data warehousing and mining tools?
weka sql server 2005
What tools are used for data mining?
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 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 types of business intelligence software are available?
The most common types of business intelligence software are spreadsheets, reporting and querying software, OLAP, digital dashboards, data mining, data warehousing, decision engineering, process mining, business performance management, and local information systems. Each suits specific needs of a business or individual.
What kind of degree do you need to pursue a career in data mining?
To pursue a career in data mining, a degree in computer science, mathematics, statistics, or a related field would be beneficial. Additionally, obtaining certifications or specialized training in data mining techniques and tools can enhance your skills and competitiveness in the field. Hands-on experience and proficiency in programming languages and data analysis tools are also valuable for a career in data mining.
Characteristics of data mining?
CHARECTERISTICS OF DATA MINING CHARECTERISTICS OF DATA MINING
Distinguish between Data mining and text mining?
mining the data is called data mining. Mining the text is called text mining
What is web mining?
Web mining - is the application of data mining techniques to discover patterns from the Web. According to analysis targets, web mining can be divided into three different types, which areWeb usage mining, Web content mining and Web structure mining.
Difference between Online analytical processing and data mining?
online analytical processing uses basic operations such as slice and dice drilldown and roll up on historical data in order to provide multidimensional analysis of data data mining uses knowledge discovery to find out hidden patterns and association constructing analytical models and presenting mining results with visualization tools.
What are data integration tools used for?
Data integration tools are used to help combine different types of data from multiple sources into one file. The tool may also help to distribute the data to your users.
