0
What else can I help you with?
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
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 differences data warehouse between data mining?
Data warehouse is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed rather than transaction processing, whereas Data mining is the process of analyzing unknown patterns of data.
Founction of fpga?
fpga work in 1-image processing 2-data mining 3-signal processing 4-embed system
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
Is data an adjective?
No, it is a noun (plural of datum, now almost exclusively used as a singular mass noun).But it is widely used with nouns as an adjunct, e.g. data processing, data stream, data mining.
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 has the author Vagelis Hristidis written?
Vagelis Hristidis has written: 'Information discovery on electronic health records' -- subject(s): Medical records, Data processing, Data mining
How would one explain text mining?
The method of obtaining essential information from standard language text data is known as text mining. Text mining is one of the most efficient and orderly techniques of processing and analyzing unstructured data (which accounts for almost 80% of all data on the planet). This is the information we generate through text messages, papers, emails, and files written in plain text. Huge amounts of data are collected and kept on cloud platforms and data warehouses, and it's difficult to keep storing, processing, and evaluating such massive amounts of data with traditional technologies. Text mining is typically used to extract useful insights or patterns from large amounts of data. This is when text mining comes in handy. The process of extracting high-quality data from unstructured text is known as text mining. Text mining, in its most basic form, seeks out facts, relationships, and affirmation from large amounts of unstructured textual data.
What are the 2 areas of data processing?
Business data processing and Scientific data processing.
What are the categories data processing?
What are the two areas of data processing?
