consistency, is vital in the context of Database Management Systems (DBMS) and the ACID (Atomicity, Consistency, Isolation, Durability) properties of transactions. The issue arises when CSPs cannot securely guarantee clients the accuracy and completeness of data in response to their queries [18]. ...
Cloud computing is the most recent smart city advancement, made possible by the increasing volume of heterogeneous data produced by apps. More storage capacity and processing power are required to process this volume of data. Data analytics is used to examine various datasets, both structured and u...
This paper describes several organizing principles useful in designing classification and coding (C&C) software in a relational database management system (DBMS) environment. Specifically, these software design principles include the usage of Operational Constructors, Meta Models, Dynamic Binding, and ...
Data analysis systems. This type of DSS supports the manipulation of data through the use of specific or generic computerized settings or tools. Analysisinformationsystems. This type of DSS provides access to sets of decision oriented databases and simple small models. ...
simulation etc. for deriving solutions to problems. It has access to the models and has flexibility of changing the parameters of the model. Real data or transactional data from databases of TPS is then passed through the model to arrive at the solution. The system is capable of producing dif...
A Classification of Skew Effects in Parallel Database Systems Holger Märtens Universität Leipzig, Institut für Informatik Postfach 920, D–04009 Leipzig, Germany maertens@informatik.uni-leipzig.de Abstract. Skew effects are a serious problem in parallel database systems, but the relationship ...
(ADP). ADP is enabled through the model settings. When ADP is enabled, the transformations required by the algorithm are performed automatically and embedded in the model. This step is done during the Build Model stage. The commonly used methods of data preparation are binning, normalization, ...
With the rapidly growing demand for large-scale online education and the advent of big data, numerous research works have been performed to enhance learning quality in e-learning environments. Among these studies, adaptive learning has become an increasi
Programmable interconnect Reconfigurable logic applications Evolvable hardware Very large scale integration design 3D integrated circuits Analog and mixed-signal circuits Data conversion Clock generation and timing Analog and mixed-signal circuit optimization Radio frequency and wireless circuits Wireline communicat...
Convolutional neural network (CNN) is a type of feed-forward artificial neural network. Its individual neurons are tiled in such a way that they respond to overlapping regions in the visual field [28]. CNN and its variations are widely used models for image and video recognition [29, 30]....