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