Abstract:
The demand for knowledge extraction has been increasing. With the growing amount of data being generated by global data sources (e.g., social media and mobile apps) and t...Show MoreMetadata
Abstract:
The demand for knowledge extraction has been increasing. With the growing amount of data being generated by global data sources (e.g., social media and mobile apps) and the popularization of context-specific data (e.g., the Internet of Things), companies and researchers need to connect all these data and extract valuable information. Machine learning has been gaining much attention in data mining, leveraging the birth of new solutions. This paper proposes an architecture to create a flexible and scalable machine learning as a service. An open source solution was implemented and presented. As a case study, a forecast of electricity demand was generated using real-world sensor and weather data by running different algorithms at the same time.
Date of Conference: 09-11 December 2015
Date Added to IEEE Xplore: 03 March 2016
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Machine Learning ,
- Data Sources ,
- Social Media ,
- Data Mining ,
- Internet Of Things ,
- Power Demand ,
- Extract Valuable Information ,
- Open-source Solutions ,
- Prediction Model ,
- Mean Square Error ,
- Training Set ,
- Learning Algorithms ,
- Machine Learning Models ,
- Unsupervised Learning ,
- Mean Absolute Error ,
- Graphical User Interface ,
- Multilayer Perceptron ,
- Testing Services ,
- Outlier Detection ,
- Real Measurements ,
- Training Services ,
- Support Vector Regression Model ,
- Support Vector Regression ,
- Service-oriented Architecture ,
- K-nearest Neighbor Model ,
- Multilayer Perceptron Model ,
- Storage Components ,
- Office Buildings ,
- Supervised Learning ,
- K-nearest Neighbor
- Author Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Machine Learning ,
- Data Sources ,
- Social Media ,
- Data Mining ,
- Internet Of Things ,
- Power Demand ,
- Extract Valuable Information ,
- Open-source Solutions ,
- Prediction Model ,
- Mean Square Error ,
- Training Set ,
- Learning Algorithms ,
- Machine Learning Models ,
- Unsupervised Learning ,
- Mean Absolute Error ,
- Graphical User Interface ,
- Multilayer Perceptron ,
- Testing Services ,
- Outlier Detection ,
- Real Measurements ,
- Training Services ,
- Support Vector Regression Model ,
- Support Vector Regression ,
- Service-oriented Architecture ,
- K-nearest Neighbor Model ,
- Multilayer Perceptron Model ,
- Storage Components ,
- Office Buildings ,
- Supervised Learning ,
- K-nearest Neighbor
- Author Keywords
