An information system is the application of data production, flows, and use inside organizations. Information system creates huge use of data technology defines. But it is essential to appreciate that its capacity encompasses systems in their entirety, such as manual events, the interface among manual and automated elements of systems, ... Read More

Information security is a set of practices designed to carry private data secure from unauthorized access and alteration for the duration of storing or transmitting from one location to another.Information security is designed and carried out to protect the print, digital, and other private, sensitive, and private data from unauthorized ... Read More

Privacy-preserving data mining is an application of data mining research in response to privacy security in data mining. It is called a privacy-enhanced or privacy-sensitive data mining. It deals with obtaining true data mining results without disclosing the basic sensitive data values.Most privacy-preserving data mining approaches use various form of ... Read More

Recommender systems can use a content-based approach, a collaborative approach, or a hybrid approach that combines both content-based and collaborative methods.Content-based − In the content-based approach recommends items that are same to items the customer preferred or queried in the previous. It depends on product features and textual item definition.In ... Read More

An intrusion can be represented as any set of services that threaten the integrity, confidentiality, or accessibility of a network resource (e.g., user accounts, file systems, system kernels, etc).Intrusion detection systems and intrusion prevention systems both monitor network traffic and system performance for malicious activities. The former produces documents whereas ... Read More

Data mining is the process of finding useful new correlations, patterns, and trends by transferring through a high amount of data saved in repositories, using pattern recognition technologies including statistical and mathematical techniques. It is the analysis of factual datasets to discover unsuspected relationships and to summarize the records in ... Read More

There are various roles of data mining in science and engineering are as follows −Data warehouses and data preprocessing − Data preprocessing and data warehouses are important for data exchange and data mining. It is making a warehouse requires discovering means for resolving inconsistent or incompatible information collected in several ... Read More

In statistical data mining techniques, it is created for the effective handling of large amounts of data that are generally multidimensional and possibly of several complex types.There are several well-established statistical methods for data analysis, especially for numeric data. These methods have been used extensively to scientific records (e.g., records ... Read More

Spatiotemporal data mining define the process of finding patterns and knowledge from spatiotemporal data. An instances of spatiotemporal data mining contains finding the developmental history of cities and lands, uncovering weather designs, forecasting earthquakes and hurricanes, and deciding global warming trends.Spatiotemporal data mining has become important and has far-extending implications, ... Read More

Graphs defines a more general class of mechanism than sets, sequences, lattices, and trees. There is a wide range of graph applications on the internet and in social networks, data networks, biological web, bioinformatics, chemical informatics, computer vision, and multimedia and content retrieval. The applications of mining graphs and networks ... Read More