0
CHARECTERISTICS OF DATA MINING CHARECTERISTICS OF DATA MINING
1 answer
mining the data is called data mining. Mining the text is called text mining
1 answer
Some seminar topics related to data mining could include:
- Introduction to data mining techniques and algorithms
- Applications of data mining in business intelligence
- Big data analytics and data mining
- Ethical considerations in data mining and privacy protection.
2 answers
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.
1 answer
Data mining can uncover interesting patterns.
Some cookies will upload solely for the purpose of data mining.
1 answer
Data warehouse is the database on which we apply data mining.
1 answer
Simply, Data mining is the process of analyzing data from several sources and converting it into useful data.
1 answer
One can learn about data mining by visiting the data mining wikipedia page, which has a very comprehensive article about the topic, starting with the etymology and mostly talking about the various uses of data mining.
1 answer
Data mining
3 answers
difference between Data Mining and OLAP
1 answer
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.
1 answer
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.
1 answer
What is data mining?
is data mining another hype?
Is it a simple transformation of technology developed from databases, statistics, and machine learning?
how the evolution of database technology led to data mining.
the steps involved in data mining when viewed as a process of
knowledge discovery.
1 answer
Data mining software is a practical way to look for patterns and correlations. Basically, data mining take out information from data and transform it in a way to be understood for future use.
1 answer
Data mining is the application of computational techniques to obtain useful information from a large data. When applied to different situations data mining can reveal information and valuable insights about patterns. Examples of data mining applications are Fraud detection, customer behaviour, customer retention.
1 answer
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.
2 answers
SAS is statistical software that can be used as a tool for data mining.
1 answer
The word "acquisition" means to collect or to get. So "data acquisition" means collection of data. This can be done by either automated or manual means, however in the context of electronics its almost always automated.
1 answer
In directed data mining, you are trying to predict a particular data point - the sales price of a house given information about other houses for sale in the neighborhood, for example.
In undirected data mining, you are trying to create groups of data, or find patterns in existing data - creating the "Soccer Mom" demographic group, for example. In effect, every U.S. census is data mining, as the government looks to gather data about everyone in the country and turn it into useful information.
1 answer
Data mining is effectively storing and analysing old pieces of data and predicting what's going to happened in future based on trends and patterns in that data.
1 answer
Some of the advantages in data mining services include Market Data Research. this provides the companies with large amounts of data for research and development.
1 answer
There is an article on the The Atlantic's website where one can find out all about data mining jobs. The article explains, in great detail, how data mining works and why it is crucial for businesses.
1 answer
No, data mining is not just another hype. It is a valuable process of discovering patterns and relationships in large datasets to extract useful information and make informed decisions. When utilized effectively, data mining can provide valuable insights for businesses, researchers, and organizations to improve processes and outcomes.
2 answers
ata Stream Mining is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities. Examples of data streams include computer network traffic, phone conversations, ATM transactions, web searches, and sensor data. Data stream mining can be considered a subfield of data mining, machine learning, and knowledge discovery.
In many data stream mining applications, the goal is to predict the class or value of new instances in the data stream given some knowledge about the class membership or values of previous instances in the data stream. Machine learning techniques can be used to learn this prediction task from labeled examples in an automated fashion. In many applications, the distribution underlying the instances or the rules underlying their labeling may change over time, i.e. the goal of the prediction, the class to be predicted or the target value to be predicted, may change over time. This problem is referred to as concept drift.
1 answer
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 databases
Data 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.
2 answers
The answer would be: data is information. In the specific case of automated systems, data is well structured information.
1 answer
Data mining just means gathering information. The purpose of data mining is to collect as much information as possible about any particular issue so that analysts can spot trends and predict what is likely to happen next. It is useful for companies because it helps them tailor their goods and services for the market.
2 answers
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.
3 answers
Data Mining
1 answer
1. automated processes used to protect data and control access to data
2 answers
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.
2 answers
Digital dashboard and data mining applications do not generate new data, but instead are used to summarize existing data to provide information to management
1 answer
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.
1 answer
data searching
2 answers
Companies that would use data mining software would be grocery stores that want to monitor how the sale pattern differs at each location on certain items. Another company that uses data mining would be the Walmart corporation.
2 answers
data dictionary
1 answer
Data mining refers to a company soliciting personal information from users. This information can be used for advertising and can be obtained through cookies dropped on a computer.
1 answer
