Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)

These proceedings gather outstanding research papers presented at the Second International Conference on Data Engineering 2015 (DaEng-2015) and offer a consolidated overview of the latest developments in databases, information retrieval, data mining and knowledge management. The conference brought together researchers and practitioners from academia and industry to address key challenges in these fields, discuss advanced data engineering concepts and form new collaborations. The topics covered include but are not limited to:

. Data engineering

. Big data . Data and knowledge visualization

. Data management

. Data mining and warehousing

. Data privacy & security

. Database theory

. Heterogeneous databases

. Knowledge discovery in databases . Mobile, grid and cloud computing

. Knowledge management

. Parallel and distributed data

. Temporal data

. Web data, services and information engineering

. Decision support systems

. E-Business engineering and management . E-commerce and e-learning

. Geographical information systems

. Information management

. Information quality and strategy

. Information retrieval, integration and visualization

. Information security

. Information systems and technologies

Contenu
Part 1: Database Theory and Applications.- Chapter 1. A New Approach to Secure and Manage Load Balancing of the Distributed Database using SQL Firewall.- Chapter 2. Object-Based Simulators for Large Scale Distributed Virtual Environment.- Chapter 3. 1P1O: A Large Scale Distributed Virtual Environment.- Chapter 4.Optimize Performance Load Balancing Techniques using Binary Vote Assignment Grid Quorum (BVAGQ): A Systematic Review.- Chapter 5.Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model.- Chapter 6.DGMS: Dataset Generator Based On Malay Stemmer Algorithm.- Chapter 7.A Survey of UML Tools.- Chapter 8.Hybrid Landscape Change Detection Methods in a Noisy Data Environment.- Part 2: Data Warehousing and Mining.- 9.Concept Based Lattice Mining (CBLM) Using Formal Concept Analysis (FCA) for Text Mining.- 10. 2M-SELAR: A Model for Mining Sequential Least Association Rules