Database Mining Chapter 13

Heterogenous

A network where all the nodes and links are of different types

Homogenous

A network where all the nodes and links are of the same type

Web Content Mining

Analyzes the text, multimedia data, and structured data within web pages or linked across web pages

Random movements

Characterizes sporadic changes due to chance events in time series data

Complex data types for data mining

Graphs and networks, Spatio-temporal Data, sequence data

Invisible Data Mining

Incorporates data mining into its functional components often unbeknownst to the user

Biological Sequence Analysis

Indexes., analyses, compares, and aligns biological sequences and thus plays crucial role in bioinformatics and modern biology

Trends/Long-term Movements

Indicates the general direction in which a time-series graph is moving over time, using weighted moving averages or least squares methods

Domain-Specific Data Mining Applications

Integrate domain-specific knowledge with data analysis techniques to provide mission specific data mining solutions

Seasonal Variations

Nearly identical patterns that a time series appears to follow during corresponding seasons of successive years

Cyber-physical system mining

THe discovery of interesting patterns within heterogeneous networks of interacting physical and information components

Network

That which consists of a set of nodes, each corresponding to an object associated with a set of properties, and a set of edges or links connecting those nodes, representing a relationship between objects.

Ubiquitous Data Mining

The constant presence of data mining in many aspects of our daily lives

Multimedia Data Mining

The discovery of interesting patterns from databases that store and manage collections of image, video, audio, or hypertext data

Spatial Data Mining

The discovery of interesting patterns from databases that store and manage geographic or mapping data

Spatiotemporal Data Mining

The discovery of interesting patterns within data collected from moving objects or natural phenomena that travel over time

Text Mining

The discovery of interesting patterns within news articles, technical papers, books, digital libraries, email messages, blogs, or web pages

Cyclic Movements

The long-term oscillations about a trend line or curve in time series data

Web Usage Mining

The process of extracting useful information from server logs such as user's search patterns and then predicting what users are looking for on the internet

Web Structure Mining

The process of using graph and network mining theory and methods to analyze the nodes and links on the web

Symbolic Sequence

Consists of an ordered set of elements or events, recorded with or without a concrete notion of time

Privacy-preserving data mining

Deals with obtaining valid data mining results without disclosing underlying sensitive values

Biological Sequences

Typically Very long, and carry important complicated, but hidden semantic meaning as seen in DNA and proteins