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• 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.
What else can I help you with?
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.
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 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
Different types of data mining?
Data mining involves extracting valuable insights from large datasets using various techniques. The primary types of data mining include classification, which assigns data into predefined categories; regression, which predicts continuous values; clustering, which groups similar data points together; association rule mining, which identifies relationships between variables; and anomaly detection, which identifies outliers or unusual patterns. These techniques are widely used across industries for decision-making and predictive analysis. To master these methods, enrolling in data mining and analytics courses, such as those offered by Uncodemy, can provide you with the necessary skills to excel in this field and enhance career prospects.
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 are the seminar topics related to data mining?
Here are some interesting seminar topics related to data mining: Introduction to Data Mining Techniques – Overview of fundamental techniques like classification, clustering, regression, and association rule mining. Applications of Data Mining in Healthcare – How data mining is transforming patient care, disease prediction, and medical research. Big Data and Data Mining – Integrating data mining with big data tools to extract valuable insights. Data Mining in E-commerce – Techniques for customer behavior analysis and recommendation systems. Machine Learning in Data Mining – Exploring the role of machine learning algorithms in enhancing data mining processes. Data Mining for Fraud Detection – Using data mining to identify fraudulent activities in banking and finance.
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 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 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 are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
