Data Science and Big Data: An Environment of Computational Intelligence

Part I. Fundamentals

1. Large-Scale Clustering Algorithms
Rocco Langone, Vilen Jumutc, Johan A. K. Suykens

2. On High Dimensional Searching Spaces and Learning Methods
Hossein Yazdani, Daniel Ortiz-Arroyo, Kazimierz Choroś, Halina Kwasnicka

3. Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification
Sachin Subhash Patil, Shefali Pratap Sonavane

4. Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders
Balakumar Balasingam, Pujitha Mannaru, David Sidoti, Krishna Pattipati, Peter Willett

5. Developing Modified Classifier for Big Data Paradigm: An Approach Through Bio-Inspired Soft Computing
Youakim Badr, Soumya Banerjee

6. Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data
Han Liu, Alexander Gegov, Mihaela Cocea

7. An Efficient Approach for Mining High Utility Itemsets Over Data Streams
Show-Jane Yen, Yue-Shi Lee

8. Event Detection in Location-Based Social Networks
Joan Capdevila, Jesús Cerquides, Jordi Torres

Part II. Applications

9. Using Computational Intelligence for the Safety Assessment of Oil and Gas Pipelines: A Survey
Abduljalil Mohamed, Mohamed Salah Hamdi, Sofiène Tahar

10. Big Data for Effective Management of Smart Grids
Alba Amato, Salvatore Venticinque

11. Distributed Machine Learning on Smart-Gateway Network Towards Real-Time Indoor Data Analytics
Hantao Huang, Rai Suleman Khalid, Hao Yu

12. Predicting Spatiotemporal Impacts of Weather on Power Systems Using Big Data Science
Mladen Kezunovic, Zoran Obradovic, Tatjana Dokic, Bei Zhang, Jelena Stojanovic, Payman Dehghanian, Po-Chen Chen

Avainsanat: Engineering, Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence (incl. Robotics), Big Data/Analytics, Health Informatics, Health Care Management