Spatial database

2.7.4 Spatial Metadata Publication Publishing metadata facilitates data sharing. Sharing data between organisations stimulates cooperation and a coordinated, integrated approach to spatially related policy issues (Land Information Council of Jamaica 2008). Metadata records are usually published through catalogue systems, sometimes called directories or registries (Nogueras-Iso et al. 2005). Also, Catalogue Services for the Web (CSW) open standard by the Open Geospatial Consortium (OGC) supports

we introduce new masking technique for hiding sensitive data based on the concept of genetic algorithms. The main purpose of this method is fully supporting security of continuous numerical data in the database and keeping the utility

B. Descriptive techniques - Clustering- It involves identifying clusters and grouping similar objects together in each cluster. The main focus is on evaluating and implementing Partitioned (K-means) algorithms, other clustering methods include Hierarchical (CURE, BIRCH), Grid – based (STING, WaveCluster), Model-based (Cobweb), and Density based (DBSCAN). Author [31] presented work to enhance the performance of one of the most well-known pop ular clustering algorithms (K-mean) to produce near-optimal

%chapter{Conclusions and Future Work} chapter{CONCLUSIONS AND FUTURE WORK} label{chapter:Conclusions} section{Conclusions} In this dissertation a multimedia big data analysis framework for semantic information management and retrieval is presented. It contains three coherent components, namely multimedia semantic representation, multimedia concept classification and summarization, and multimedia temporal semantics analysis and ensemble learning. These three components are seamlessly integrated and

can be created in SAP HANA. For each model type, the chapter defines the model in question, outlines the criteria for choosing it, and explains its benefits. 1.1 SAP HANA Database Engine Architecture SAP HANA is an in-memory technology platform that is deployable as an appliance or in the cloud. Its core is the SAP HANA database, which is built for high performance applications. It makes full use of the main memory and processing power provided by modern hardware. As relevant data is kept in main

Spatial Data Infrastructure (SDI) is an information infrastructure providing access and enabling interoperability among spatial information based on standards, policies, regulations and coordination mechanisms (Groot R, 1997). The methods for creating SDI undergone radical changes in the recent years like the shift from the product-led model or data-producer-led model to process-led model or data-user model, etc. However, there are some limitations challenging the SDI growth like the lack of standards

REQUIREMENTS OF DATABASES IN DIFFERENT IoT APPLICATIONS Shona M Assistant professor,Department of CSE,SVCE,Bangalore,India ,sonasuresh04@gmail.com Abstract-In the recent years, the Internet of Things (IoT) is considered as a part of the Internet of future and makes it possible for connecting various smart objects together through the Internet.The use of IoT technology in applications has spurred the increase of real-time data, which makes the information storage and accessing more difficult

hierarchical is “they do not provide adequate facilities for explicitly specifying constraints on the data” (Connolly 2009). Another limitation of the network and hierarchical model is that they require “the user to have knowledge of the physical database being accessed, whereas the relational data model provides a substantial amount of data independence.” (Connolly

The Security Of Database Introduction In the contemporary times, it has been widely believed that the huge computer network platform is considered to be extremely beneficial in terms of making the entire community more informative (Martínez, et al, 2013). The technology of database has created a leading position for itself in the computing environment. However, due to this drastic increase in the use of computer network systems, it has been widely observed that there has been an aggravation in

• What is data science? Data science is the study of where information come from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies. According to IBM estimation, what is the percent of the data in the world today that has been creates in the past two years According to the IBM estimation 90 percent of the data has been created • What is the value of petabyte storage? Petabyte is the term is used to describe the capacity of storage or