ICITR - 2018International Conference on Information Technology Research (ICITR)http://dl.lib.uom.lk/handle/123/147302024-03-28T18:22:18Z2024-03-28T18:22:18Z3rd International Conference on Information Technology Research 2018 ( Pre Text)http://dl.lib.uom.lk/handle/123/203382023-10-13T02:29:47Z2018-01-01T00:00:00Z3rd International Conference on Information Technology Research 2018 ( Pre Text)
Wijesiriwardana, CP
2018-01-01T00:00:00ZPredictive maintenance and performance optimisation in aircrafts using data analyticsWeerasinghe, SAhangama, Shttp://dl.lib.uom.lk/handle/123/196572023-10-13T02:30:33Z2018-01-01T00:00:00ZPredictive maintenance and performance optimisation in aircrafts using data analytics
Weerasinghe, S; Ahangama, S
Wijesiriwardana, CP
Airline industry has provided a significantly conventional, faster and reliable mode of transportation for passengers and freight over the decades in which the industry has been in service despite the pressure being applied especially in maintaining operational affordability. The study critically reviews the techniques and tools, infrastructure and general application architecture for discussing the applicability of data analytics based on both batch processing and real time stream data in general aviation for health monitoring and predictive analysis in order to predict maintenance and optimize the performance of aircrafts. In this respect, the study further evaluates the significant capability in addressing contemporary problems which are uniquely addressed by data analytics system.
2018-01-01T00:00:00ZA review of big data analytics for customer relationship managementPerera, WKRDilini, KAKulawansa, Thttp://dl.lib.uom.lk/handle/123/196562023-10-13T02:30:30Z2018-01-01T00:00:00ZA review of big data analytics for customer relationship management
Perera, WKR; Dilini, KA; Kulawansa, T
Wijesiriwardana, CP
Big Data Analytics is a major research topic in
the business world and maintaining a good Customer
Relationship Management is a major requirement. Handling
Big Data according to Velocity, Volume and Variety is a
major issue. There are many challenges in using Big Data in
Customer Relationship Management. To include Big Data in
CRM many techniques such as Data Mining, Frameworks
and many procedures are used. At present there are many
applications in Big Data in customer Relationship
Management and there are many limitations in those systems.
This research paper attempts to analyze researches of Big
Data Analytics, Data Mining techniques, Big Data Analytical
Frameworks that can be used in Customer Relationship
Management. By analyzing these researches this paper
describes current applications of Big Data in Customer
Relationship Management, their issues, limitations and future
directions of this field.
2018-01-01T00:00:00ZForecasting stock price of a company considering macroeconomic effect from news eventsWaduge, NGanegoda, Uhttp://dl.lib.uom.lk/handle/123/196552023-10-13T02:30:21Z2018-01-01T00:00:00ZForecasting stock price of a company considering macroeconomic effect from news events
Waduge, N; Ganegoda, U
Wijesiriwardana, CP
Investment perspective, Stock Market is the most popular potential investment market around the globe currently, because of this reason the need of an effective stock prediction approach was a target of many researchers. Most of the previous approaches have adopted Artificial Neural Networks and Support Vector Machine, while some have got insights from other models as well. Above traditional approaches was lacking in precise predictions of stock price fluctuations. This paper reviews the previous approaches with different Machine Learning methods and suggests a predicting method using modified Artificial Neural Networks with consideration of macro-economic effects to promise better results in stock prediction.
2018-01-01T00:00:00Z