Karteikarten
Chapter 2 MA Barmer Book
Karten in diesem Stapel (7)
- 1ClassificationIs task of putting data into classes that represents their attributes so that all the data in a certain class have similliar attributes values
- 2Naive Baytes Classifiersuses the branch of Mathematics known as probability theory to find the most
likely of the possible classifications - 3Normalisationmajor problem when using the Euclidean distance formula (and many other
distance measures) is that the large values frequently swamp the small ones.
Suppose that two instances are as follows for some classification problem
associated with cars (the classifications themselves are omitted). - 4eager learning and lazy learningThe Na¨ıve Bayes and Nearest Neighbour algorithms
- 5Eager Learning DiffinitionEager learning:In eager learning systems the training data is ‘eagerly’ generalized into
some representation or model such as a table of probabilities, a decision tree
or a neural net without waiting for a new (unseen) instance to be presented for
classification.(Categorical Attributes solution) - 6Lazy Learning DiffinitionIn lazy learning systems the training data is ‘lazily’ left unchanged until an unseen instance is presented for classification. When it is, only those calculations
that are necessary to classify that single instance are performed.(Continuous Attributes solution) - 7AI Vs DataMiningAI : is the study to create intelligent agents (how to program the computer to behave like an intelligent person) , it doesn't have to involve learning or induction at all , it can be way to build 'better buildings with high quality' for example
Data Mining: Data mining is carried out by a person, in a specific situation, on a particular data set, with a goal in mind. Typically, this person wants to leverage the power of the various pattern recognition techniques that have been developed in machine learning. Quite often, the data set is massive, complicated, and/or may have special problems (such as there are more variables than observations).
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- Graduate Record Examination (GRE) DataMining Karteikarten am Chapter 2 MA Barmer Book, erstellt von GM Ducky am 02/04/2016.
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