Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of mining association rules and classification, but similarity search is also a frequently applied operation. Access methods for multidimensional numerical data are inappropriate for this problem and specialized indexes are ne...

Since discovery of an underlying organisational structure from crime data leads the investigation to terrorist cells or organised crime groups, detecting covert networks are important to crime investigation. As shown in application of Offender Group Detection Model (OGDM), which is developed and tested on a theft network in Bursa, Turkey, use of effective data mining methods can reveal offender...

In Data mining, an important goal is to generate efficient data. Efficiency and scalability have always been important con-cerns in the field of data mining. The increased complexity of the task calls for algorithms that are inherently more expensive. To analyze data efficiently, Data mining systems are widely using datasets with columns in horizontal tabular layout. Preparing a data set is mor...

In this paper we present a research project aiming at the design and development of an Object–Relational Data Warehousing System (ORDAWA). The project is conducted in co–operation of Institute for Informatics–Systems, Klagenfurt University, and Institute of Computing Science, Poznań University of Technology. Important goals of the project are to develop techniques for the integration and consol...

an ex-situ experiment to assess the metal extractive potential of fourteen agriculture plants (vigna unguiculata, gossypium hirsutum, jatropha curcas, etc.) was conducted on magnesite mines which had above permissible levels of cadmium and lead. there was no much difference in the total chlorophyll a and b, carbohydrate and protein contents in the plants grown in the mining soil and adjacent co...

For traditional data mining techniques cannot be directly applied to the semi-structured XML data mining problem, this paper proposes a novel ontology and association rules based XML mining algorithm. The algorithm firstly introduces the domain ontology and hash technology to improve the operation of emerging frequent item sets and generating association rules, then uses a hash table to store t...

Theoretical review of ‘mining pit lakes’ indicates that like natural lakes such lakes display a huge diversity. They are typically in a non-equilibrium state with respect to their surroundings. Hence, at the decommissioning phase of mining operation a detailed technical study are required on different aspects of such created water bodies considering its morphometry, geology, hydrology, water qu...

Customer satisfaction is the key secret of success for all industries regardless of whether it is web enabled or not. This paper focuses the role of web mining in achieving a viable edge in business. Web mining is becoming the tool for success for those who adopt electronic means of operation for conducting their business. Web mining is the application of data mining techniques to discover patt...