| Description |
All organizations depend on the accurate and timely presentation of information to employees, customers, suppliers, shareholders and the government for their survival. Many people and organizations are still holding on to older models of data management that fail to utilize the full power of the PC and other enterprise applications. Managing data from multiple sources including external downloads, data links and manual data entry is challenging for any corporate. Cheap, powerful computing and networking have created countless new applications that could not have existed a decade ago. The advent of the World-Wide Web, and its influence in driving the Internet into homes and businesses, is one obvious example. Data Management is the process of planning, coordinating and controlling an organization’s data resources. More often, applications need to store and search a large amount of data, or structurally complex data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances in hardware and computing techniques. New applications, issues, and emerging technologies such as Data Warehousing and Data Mining, Bioinformatics, Multimedia Databases, Object-Oriented Databases, Trust Management, and Security have compelled database specialists to revisit areas of data modeling, query languages, storage, and internet compatibility. The convergence of high-performance computing, global high-speed communications advanced sensing and data analysis is driving the next wave of information-age business transformation.
This conference would attempt to identify, document & explore the issues, problems and challenges in Data Management.
Call for Papers
Original papers on the various below-mentioned areas of interest are invited. The areas mentioned below are only indicative and not exhaustive in coverage. The contributor can include any other topic falling under the broad gamut of the main theme.
Areas of Interest
Data Exchange and Integration
Data Quality, Cleaning and Lineage
Database Monitoring and Tuning
Data Privacy and Security
Data Warehousing and Mining
Benchmarking and Performance Evaluation
Embedded, Sensor, Mobile, Time Series, Spatial Databases, Statistical Databases, Biological Data bases, Web Databases, Object Oriented Databases, Parallel and Distributed Databases and Applications
Managing Uncertain, Imprecise, Inconsistent Information and Semi Structured Data
Metadata Management
Multilingual Data Management
Multimedia Data Management
Novel Data Types
Peer-to-Peer Data Management
Personalized Information Systems
Query Processing and Optimization
Replication, Caching, and Publish-Subscribe Systems
Text Search and Database Querying
Storage and Transaction Management.
Web Services
All Data Management Issues in CRM / SCM / ERP
All Data Management Issues in Information Technology /Information Systems
Bioinformatics
Artificial Intelligence
Expert Systems
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