David Taniar

Collaborative tagging is a useful and effective way for classifying items with respect to search, sharing information so that users can be tagged via online social networking....

This Foreword is included in the book Utilizing Big Data Paradigms for Business Intelligence.

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and...

Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing...

Over the years, advances in the business world as well as the changing of diverse application contexts, have caused Data Warehousing and Data Mining to become more paramount in...

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents in the context of rapid changes in the Web knowledge discovery...

The demand of mobile technology is growing and mobile information services including the gathering of information and manipulating them are also becoming more critical in the...

This Foreword is included in the book Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection.

The International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) examines systems and organizations characterized by the following two properties: the ability to...

The emerging of wireless computing motivates radical changes of how information is obtained. Our paper discusses a practical realisation of an application using push and pull...

With the large amounts of information available to organizations in today’s digital world, there is a need for continual research surrounding emerging methods and tools for...

Organizations rely on data mining and warehousing technologies to store, integrate, query, and analyze essential data. Strategic Advancements in Utilizing Data Mining and...

Continual enhancements and innovation in the mobile computing industry have redesigned and simplified the way businesses and individuals can communicate and conduct their...

Recent technological advancements in data warehousing have been contributing to the emergence of business intelligence useful for managerial decision making. Progressive Methods...

The International Journal of Mobile Computing and Multimedia Communications (IJMCMC) publishes original research papers, state of the art reviews, technical notes, case studies...

This article proposes a data warehouse integration technique that combines data and documents from different underlying documents and database design approaches. The well-defined...

As more and more servers appearing in the wireless environment provide accesses to mobile users, more and more demand and expectation is required by mobile users toward the...

Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, once analysed, can reveal useful...

The development of wireless technology has led to mobile computing, a new era in data communication and processing (Barbara, 1999; Myers & Beigl, 2003). With this technology...

This paper proposes a data warehouse integration technique that combines data and documents from different underlying documents and database design approaches. The well-defined...

In this chapter, we present an extensive study of database operations on mobile devices which provides an understanding and direction for processing data locally on mobile...

As more and more servers appearing in the wireless environment provide accesses to mobile users, more and more demand and expectation is required by mobile users toward the...

This article proposes a data warehouse integration technique that combines data and documents from different underlying documents and database design approaches. The well-defined...

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents in the context of rapid changes in the Web knowledge discovery...

The demand of mobile technology is growing and mobile information services including the gathering of information and manipulating them are also becoming more critical in the...

As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all...

Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, once analysed, can reveal useful...

Data mining applications have enormously altered the strategic decision-making processes of organizations. The application of association rules algorithms is one of the...

Data mining is a process of discovering new, unexpected, valuable patterns from existing databases (Frawley, Piatetsky-Shapiro, & Matheus, 1991). Though data mining is the...

Developing a data warehouse for XML documents involves two major processes: one of creating it, by processing XML raw documents into a specified data warehouse repository; and...

Mobile user data mining is the process of extracting interesting knowledge from data collected from mobile users through various data mining methodologies. As technology...

This article proposes a data warehouse integration technique that combines data and documents from different underlying documents and database design approaches. The well-defined...

Mobile user data mining is the process of extracting interesting knowledge from data collected from mobile users through various data mining methodologies. As technology...

Mobile multimedia, referring to multimedia information exchange over wireless networks or wireless Internet, is made possible due to the popularity and evolution of mobile...

The Encyclopedia of Mobile Computing and Commerce is the leading reference source for innovative research on mobile applications and commerce. This two-volume encyclopedia set...

Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently...

As more and more servers appearing in the wireless environment provide accesses to mobile users, more and more demand and expectation is required by mobile users toward the...

With the advancement of storage, retrieval, and network technologies today, the amount of information available to each organization is literally exploding. Although it is widely...

Mobile multimedia, referring to multimedia information exchange over wireless networks or wireless Internet, is made possible due to the popularity and evolution of mobile...

The emerging of wireless computing motivates radical changes of how information is obtained. Our paper discusses a practical realisation of an application using push and pull...

In this chapter, we present an extensive study of the available types of data caching in a mobile database environment. We explore the different types of possible cache...

Mining walking pattern from mobile users represents an interesting research area in the field of data mining which is about extracting patterns and knowledge out from a given...

Association rule mining is one of the most widely used data mining techniques. To achieve a better performance, many efficient algorithms have been proposed. Despite these...

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents, in the context of rapid changes in the Web knowledge discovery...

The popularity of object-oriented concepts, design, and programming has stimulated the need for a database system that enables a straightforward process to store and retrieve...

Web Semantics & Ontology provides an excellent overview of current research and development activities, while covering an extensive range of topics including ontological...

Mobile user data mining is about extracting knowledge from raw data collected from mobile users. There have been a few approaches developed, such as frequency pattern (Goh &...

This article proposes a data warehouse integration technique that combines data and documents from different underlying documents and database design approaches. The well-defined...

In this chapter, we present an extensive study of database operations on mobile devices which provides an understanding and direction for processing data locally on mobile...

The International Journal of Data Warehousing and Mining (IJDWM) a featured IGI Global Core Journal Title, disseminates the latest international research findings in the areas of...

Intelligent information technologies are being used by a large number of organizations for improving productivity in many roles such as assistants to human operators and...

Mobile technology is a widely adopted technology and is used for mobile users to stay connected. Mobile data mining is an extension of data mining for the purpose of developing...

The demand of mobile Location Dependent Information Services (LDIS) has fueled in recent years. However, the request of a correct answer in a mobile environment needs to have...

Data broadcasting is a scalable mechanism to disseminate information to a large number of mobile clients in a wireless environment. This paper concerns the development of a data...

Developing a data warehouse for XML documents involves two major processes: one of creating it, by processing XML raw documents into a specified data warehouse repository; and...

Data mining applications have enormously altered the strategic decision-making processes of organizations. The application of association rules algorithms is one of the...

Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, the discovering of such hidden patterns...

Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since...

Data Mining is a process of discovering new, unexpected, valuable patterns from existing databases (Chen, Han & Yu, 1996; Fayyad et. al., 1996; Frawley, Piatetsky-Shapiro &...

Object-Relational Database (ORDB) is increasingly popular as the database storage. Its popularity is based on its ability to capture the object-oriented modeling semantic and the...

The development of wireless technology has led to mobile computing, a new era in data communication and processing (Barbara, 1999; Myers & Beigl, 2003). With this technology...

Data mining is a process of discovering new, unexpected, valuable patterns from existing databases (Frawley, Piatetsky-Shapiro, & Matheus, 1991). Though data mining is the...

Relational Database (RDB) is arguably the most widely used repository for database applications. Since the 1970s, we have witnessed the relational data model, from which the RDB...

The Internet is already more widely deployed than any other computing system in history and continues to grow rapidly. New technologies, including high speed wide area network...

XML (eXtensible Markup Language) is fast emerging as the dominant standard for describing data and interchanging data between various systems and databases on the Internet. It...

Web-Powered Databases provides an excellent snapshot of current research and development activities in the area of Web or Internet databases. Its content supplies potential...

A comprehensive study of object-relational queries gives not only an understanding of full capability of object-relational query language but also a direction for query...

The emerging use of object-relational databases with Web technologies has only recently begun. This chapter discusses a practical realization of an application using this...

A Web-based Product Catalog is an online product database that requires easy access from anywhere in the world and uses the most efficient method for information retrieval. The...

Data mining refers to a process on nontrivial extraction of implicit, previously unknown and potential useful information (such as knowledge rules, constraints, regularities)...