Data Structures in R and Data Mining

What are data structures in a computer context?

Methods of organizing and storing data efficiently.

What is a vector in R?

A sequence of elements of the same data type.

How can elements in a vector be accessed?

Using indexing, where the first element is at index 1.

What is the key feature of matrices in R?

They are two-dimensional arrays where all elements are of the same type.

What distinguishes lists from vectors and matrices in R?

Lists can contain elements of different types, making them heterogeneous.

What are data frames in R?

Data structures similar to tables, where each column can be of a different data type.

What is record data in data mining?

Data structured as a collection of records, each described by a set of attributes.

How can data that has relationships be represented?

As a graph, where objects are nodes and relationships are links.

What is the purpose of multidimensional arrays in data analysis?

They are used in OLAP to summarize and analyze data.

What does 'dimensionality' refer to in the context of dataset characteristics?

The number of attributes of a data set, affecting the choice of data mining techniques.

What does sparsity mean in datasets?

The presence of a significant number of zero or missing values.

Why is selecting the right data structure important?

It improves efficiency in data management and processing.

What is a horizontal data layout in association rule mining?

Transaction data represented horizontally, with each row as a transaction.

What does a hash tree do in frequent itemset generation?

Stores candidate itemsets to reduce the number of comparisons.