Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Graph Mining

Handbook of Research on Text and Web Mining Technologies
Methods to identify frequent subgraphs in a given graph database.
Published in Chapter:
Text Mining in Program Code
Alexander Dreweke (Friedrich-Alexander University Erlangen-Nuremberg, Germany), Ingrid Fischer (University of Konstanz, Germany), Tobias Werth (Friedrich-Alexander University Erlangen-Nuremberg, Germany), and Marc Wörlein (Friedrich-Alexander University Erlangen-Nuremberg, Germany)
Copyright: © 2009 |Pages: 20
DOI: 10.4018/978-1-59904-990-8.ch035
Abstract
Searching for frequent pieces in a database with some sort of text is a well-known problem. A special sort of text is program code as e.g. C++ or machine code for embedded systems. Filtering out duplicates in large software projects leads to more understandable programs and helps avoiding mistakes when reengineering the program. On embedded systems the size of the machine code is an important issue. To ensure small programs, duplicates must be avoided. Several different approaches for finding code duplicates based on the text representation of the code or on graphs representing the data and control flow of the program and graph mining algorithms.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Graph Data Management, Modeling, and Mining
The process of algorithmically extracting patterns of interest from graphs that describe the underlying generative process or scientific phenomenon.
Full Text Chapter Download: US $37.50 Add to Cart
Graph Database Management Systems: The Past, the Present, and the Future
The process of discovering patterns in data stored in a graph database through complex data analysis.
Full Text Chapter Download: US $37.50 Add to Cart
Unraveling E-WOM Patterns Using Text Mining and Sentiment Analysis
A set of techniques to extract and discover non-trivial, previously unknown and useful patterns from graph structures such as online social networks.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR