Page 30 - DCAP603_DATAWARE_HOUSING_AND_DATAMINING

Data Warehousing and Data Mining

notes
figure 2.2: a typical architecture for Data Mining

6. User interface: This module communicates between users and the data mining system,
allowing the user to interact with the system by specifying a data mining query or task,
providing information to help focus the search, and performing exploratory data mining
based on the intermediate data mining results. In addition, this component allows the
user to browse database and data warehouse schemas or data structures, evaluate mined
patterns, and visualise the patterns in different forms.

Note Data mining involves an integration of techniques from multiple disciplines such as
database and data warehouse technology, statistics, machine learning, high-performance
computing, pattern recognition, neural networks, data visualisation, information retrieval,
image and signal processing, and spatial or temporal data analysis. In this book the
emphasis is given on the database perspective that places on efficient and scalable data
mining techniques.
For an algorithm to be scalable, its running time should grow approximately linearly in proportion
to the size of the data, given the available system resources such as main memory and disk
space.

24 LoveLy professionaL university