There are various features of data mining that are as follows −Data types − Most data mining systems that are accessible in the industry handle formatted, record-based, relational-like data with statistical, categorical, and symbolic attributes. The data can be in the form of ASCII text, relational database data, or data ... Read More

The following are areas in which data mining technology can be used or created for intrusion detection which are as follows −Development of data mining algorithms for intrusion detection − Data mining algorithms can be used for misuse detection and anomaly detection. In misuse detection, training information is labeled as ... Read More

The security of our computer systems and information is at constant risk. The extensive growth of the web and increasing accessibility of tools and tricks for intruding and attacking networks have prompted intrusion detection to become an important element of network administration. An intrusion can be represented as any set ... Read More

There are the following aspects of data mining for biological data analysis which are as follows −Semantic integration of heterogeneous, distributed genomic and proteomic databases − Genomic and proteomic data sets are generated at multiple labs and by various methods. They are distributed, heterogeneous, and of a wide variety. The ... Read More

The telecommunication industry has quickly evolved from providing local and long-distance telephone services to providing several other comprehensive communication services, such as fax, pager, cellular phone, web messenger, images, e-mail, computer and Web data transmission, and several data traffic.The integration of telecommunication, computer network, the Internet, and several other means ... Read More

The retail industry is a major application area for data mining because it collects huge amounts of records on sales, users shopping history, goods transportation, consumption, and service. The quantity of data collected continues to expand promptly, especially because of the increasing ease, accessibility, and popularity of business conducted on ... Read More

Financial data collected in the banking and financial market are relatively done, reliable, and of huge quality, which supports systematic data analysis and data mining. Therefore it can present a few typical cases which are as follows −Design and construction of data warehouses for multidimensional data analysis and data mining ... Read More

There are several popular text retrievals indexing techniques such as inverted indices and signature files.Inverted Index − An inverted index is an index structure that maintains two hash indexed or B+-tree indexed tables: document_table and term_table, where document_table consists of a set of document records, each including two fields: doc_id ... Read More

Text retrieval is the process of transforming unstructured text into a structured format to identify meaningful patterns and new insights. By using advanced analytical techniques, including Naïve Bayes, Support Vector Machines (SVM), and other deep learning algorithms, organizations are able to explore and find hidden relationships inside their unstructured data. ... Read More

Information retrieval (IR) is a field that has been developing in parallel with database systems for many years. Unlike the field of database systems, which has targeted query and transaction processing of structured data, information retrieval is concerned with the organization and retrieval of data from multiple text-based documents.Since information ... Read More