Data warehousing and knowledge discovery from sensors and streams
نویسندگان
چکیده
منابع مشابه
Knowledge Discovery from Data Streams
Traditional pratice in machine learning algorithms involve fixed data sets and static models. Most of the times, all the data is loaded into memory and the learning task is solved by performing multiple scans over the training data. These assumptions fail with the advent of new application areas, like ubiquitous computing, sensor networks, e-commerce, etc., where data flows continuously, eventu...
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Mining data streams has raised a number of research challenges for the data mining community. These challenges include the limitations of computational resources, especially because mining streams of data most likely be done on a mobile device with limited resources. Also due to the continuality of data streams, the algorithm should have only one pass or less over the incoming data elements. In...
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Recent years have witnessed major changes in the Geographic Information System (GIS) market, from technological offerings to user requests. For example, spatial databases used to be implemented in GISs or in Computer-Assisted Design (CAD) systems coupled with a Relational Data Base Management System (RDBMS). Today, spatial databases are also implemented in spatial extensions of universal server...
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There are a set of noteworthy newfangled concepts and tools developed into a innovative technology that makes it conceivable to occurrence the problem of providing all the key people in the innovativeness with admittance to whatever level of information needed for the inventiveness to endure and flourish in an progressively modest world. The term that has come to characterize this new technolog...
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(KDD) field draws on findings from statistics, databases, and artificial intelligence to construct tools that let users gain insight from massive data sets. People in business, science, medicine, academia, and government collect such data sets, and several commercial packages now offer general-purpose KDD tools. An important KDD goal is to “turn data into knowledge.” For example, knowledge acqu...
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ژورنال
عنوان ژورنال: Knowledge and Information Systems
سال: 2011
ISSN: 0219-1377,0219-3116
DOI: 10.1007/s10115-011-0440-2