Introduction to Data Mining: Chapter 1 Lecture Notes

What is the new mantra for data collection mentioned in the text?

According to the text, what is one of the reasons for the enormous data growth in commercial and scientific databases?

What is one of the examples of large-scale data sources given in the text?

According to the text, what has become cheaper and more powerful, leading to the need for data mining?

What is a reason mentioned in the text for the competitive pressure leading to the need for data mining?

What does the text suggest about the value of gathered data?

What is the main goal of data mining?

Which field of study does data mining draw ideas from?

What are the characteristics of data that make traditional techniques unsuitable for data mining?

What are the two main types of data mining tasks mentioned in the text?

What is the significance of fMRI data in the context of data mining?

Which of the following is NOT a potential application area for data mining as mentioned in the text?

What kind of data does NASA EOSDIS archives at enormous speeds?

What is the primary purpose of using data mining in automated analysis of massive datasets?

What are some characteristics of traditional techniques that may make them unsuitable for data mining?

What do we call the property or characteristic of an object in data mining?

Which term is also used to describe an attribute in data mining?

What are the numbers or symbols assigned to an attribute for a particular object called?

Which term describes the collection of attributes that describe an object in data mining?

What is another term for the distance or similarity between data objects?

In data mining, which term is used to describe the characteristic of an object, such as eye color of a person or temperature?

What is another term used for the property or characteristic of an object in the context of data mining?

Which term is used to describe the numbers or symbols assigned to an attribute for a particular object in data mining?

What is the term used in data mining for the collection of attributes that describe an object?

What is another term for the distance or similarity between data objects in data mining?

Which type of attribute values only distinguish and do not possess the property of order?

What type of attribute values also order objects in addition to distinguishing them?

Which type of attribute values have meaningful differences between them but do not have meaningful ratios?

Is it physically meaningful to say that a temperature of 10 ° is twice that of 5° on the Celsius scale?

In the context of measuring height above average, is it analogous to the situation of temperature in terms of meaningful ratios?

What are the examples of quantitative attributes mentioned in the text?

Which type of attribute values have both meaningful differences and ratios?

What operations are meaningful for ratio variables?

What is the main difference between interval and ratio attributes in terms of meaningful ratios?

(BONUS) What are common examples of nominal attribute values mentioned in the text?