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What are the five types of knowledge produced from data mining?
Wiki User
∙ 13y ago
• Acquired knowledge comes from outside the organization. In some
cases, an organization purchases the knowledge from another source.
Similarly, information can be leased or rented. For example, some "rented"
knowledge comes from consultants. Institutional research relies heavily on
rented knowledge such as U.S. Census Data, Integrated Postsecondary
Education Data System (IPEDS) files, research methods, to name a few.
Davenport and Prusak note that "originality is less important than usefulness"
in acquired knowledge.
• Dedicated resources are those in which an organization sets aside
some staff members or an entire department (usually research and development)
to develop within the institution for a specific purpose. These dedicated
resources are usually protected from competitive pressures to develop
profitable products. Offices of institutional research are by themselves good
examples of dedicated resources to the extent that they generally serve specific
purposes, which are not duplicated or shared by other departments and
offices. This is particularly true when institutional research functions are
centralized within one office.
OVERVIEW OF KNOWLEDGE MANAGEMENT 11
• Fusion is knowledge created by bringing together people with different
perspectives to work on the same project. The resulting projects represent
more comprehensive expertise than possible if members of the team represented
one perspective. But Davenport and Prusak note that fused knowledge
often involves conflict, and a team needs time to reach a shared knowledge
and language. Cross-functional teams are becoming popular in higher
education institutions and are examples of fusion. Institutional researchers
are often called upon to participate in various teams due to their expertise.
• Adaptation is knowledge that results from responding to new processes
or technologies in the market place. The expansion of on-line instruction
offered by higher education institutions is an example of adaptation.
• Knowledge networking is knowledge in which people share information
with one another formally or informally. Knowledge networking often
occurs within disciplines; for example, an institutional researcher communicating
with another.
Wiki User
∙ 13y ago
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What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
What type is data?
There Are Two main types of data. Qualitative data are expressed As numbers, obtained by counting or measuring. Another type of data is called an inference.An inference is a logical interpretation based on prior knowledge or experience.
What is data and what are the different types of data available in the market?
Data is, basically, information. Armed with that knowledge, you can probably either answer your own second question or see how silly it is.
What is the process by which great amounts of data are analyzed and investigated?
Data Mining
Is built-in data-type are abstract data-types in java?
All built-in data types are not abstract data types.
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.
Which of the following is the computer-assisted process of sifting through and analyzing vast amounts of data to extract meaning and discover new knowledge?
Data mining
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.
What does data mining mean?
The term data mining is generally known as the process of analyzing data from many different perspectives in order to correctly organize the data. Sometimes data mining is also called knowledge dicovery.
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 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.
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.
What services do the data mining company provide?
Data Mining companies provide such services as mining for data and mining for data two electric bugaloo. They will often offer to resort to underhanded tactics to mine said data.
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 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 are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
