The Osiris system implements an object data model which was\ndesigned to enable the users to share data through a view mechanism.\nViews, which play the role of subclasses in an object perspective, are\ndefined by their logical properties. Determining the views whose\nproperties are satisfied ...
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...
dbms_output.put_line('CATEGORY: '||c.cd_description); end loop; end; / 9.5.3SVM-Based Supervised Classification The second method that you can use for training purposes is Support Vector Machine (SVM) classification. SVM is a type of machine learning algorithm derived from statistical learning...
(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
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 ...
Model Driven DSS is a DSS that uses a model (quantitative) based on heuristics, optimization, 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 ...
This paper proposes an approach to software classification in fine-grain based on SLIQ algorithm,uses testing tools and writes API’s to get both inner and outer attributes of software,cleans these data and abstract classification rules of software,and builds a classifying model applied in DBMS cl...
This thesis introduces two implementations of Nave Bayes classification for the functional and object oriented Database Management System Amos II. The first one is based on objects stored in memory. The second one deals with streamed JSON feeds. Both systems are written in the native query languag...