XML is touted as the breakthrou gh in data exchange on the web. As XML material becomes more abundant, the ability to gain knowledge from XML sources decreas es. Thus, there is a great need to apply data mining techniques to XML data. This paper suggests taxonomy of XML mining as a stepping -stone to further XML mining research. This paper explicitly expresses the available classes of XML mater...

Data mining techniques have been successfully applied in many fields including marketing, manufacturing, process control, fraud detection and network management. In recent years, data mining-based Intrusion Detection Systems (IDS) have demonstrated high accuracy, good generalization to novel types of intrusion, and robust behavior in a changing environment. In data mining based intrusion detect...

Current electronic data repositories are growing quickly and contain big amount of data from commercial, scientific, and other domain areas. The capabilities for collecting and storing all kinds of data exceed the abilities to analyze, summarize, and extract knowledge from this data. Knowledge discovery systems (KDSs) use achievements from many technical areas, including databases, Data Mining ...

Textual databases are useful sources of information and knowledge and if these are well utilised then issues related to future project management and product or service quality improvement may be resolved. A large part of corporate information, approximately 80%, is available in textual data formats. Text Classification techniques are well known for managing on-line sources of digital documents...

Frequent sets play an important role in many Data Mining tasks that try to search interesting patterns from databases, such as association rules, sequences, correlations, episodes, classifiers and clusters. FrequentItemsets Mining (FIM) is the most well-known techniques to extract knowledge from dataset. In this paper differential privacy aims to get means to increase the accuracy of queries fr...

Web Mining is an enormous field that helps us to understand range of concepts of different fields. Web Usage Mining Techniques are attempted to motive about diverse materialized issues of Business Intelligence which include marketing proficiency as domain knowledge and are specifically designed for electronic commerce purposes. The growing reputation of e-commerce makes data mining requisite te...

ata mining is the process of analyzing data from different views and summarizing it into useful data. “Data mining, also popularly referred to as knowledge discovery from data (KDD), is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data streams.”. Thi...

The database used in mining for knowledge discovery is dynamic in nature. Data may be updated and new transactions may be added over time. As a result, the knowledge discovered from such databases is also dynamic. Incremental mining techniques have been developed to speed up the knowledge discovery process by avoiding re-learning of rules from the old data. To maintain the large itemsets agains...