**Chapter 2**

*Multimedia Information Retrieval*

29-48. Springer, 2006.

Category Dataset. 2007.

2011.

[18] W Chao. Machine Learning Tutorial. *National Taiwan University*,

[19] Jean Ponce, Tamara L Berg, Mark Everingham, David A Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C Russell, Antonio Torralba, et al. Dataset issues in object recognition. In *Toward category-level object recognition*, pages

systems for big data with mapreduce: Granularity analysis. Advances in Data Analysis and Classification, 11(4):

[27] Lu Lu, Xuanhua Shi, Hai Jin, Qiuyue Wang, Daxing Yuan, and Song Wu. Morpho: A decoupled mapreduce framework for elastic cloud computing. Future Generation Computer Systems,

[28] Seyed Nima Khezr and Nima Jafari Navimipour. Mapreduce and its applications, challenges, and architecture: A comprehensive review and directions for future research. Journal of Grid Computing, 15(3):

[29] Jeffrey Dean and Sanjay Ghemawat. Mapreduce: Simplified data processing on large clusters. Communications of

the ACM, 51(1):107-113, 2008.

[30] Vignesh Prajapati. *Big Data Analytics with R and Hadoop*. Packt

[31] Aditya B Patel, Manashvi Birla, and Ushma Nair. Addressing big data problem using hadoop and map reduce. In *2012 Nirma University International Conference on Engineering (NUiCONE)*,

[32] Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia. *Learning spark: lightning-fast big data analysis*. " O'Reilly Media, Inc.", 2015.

[33] Matei Zaharia, Mosharaf Chowdhury, Michael J Franklin, Scott Shenker, and Ion Stoica. Spark: Cluster computing with working sets.

HotCloud, 10(10-10):95, 2010.

1-15. ACM, 2014.

[34] Haoyuan Li, Ali Ghodsi, Matei Zaharia, Scott Shenker, and Ion Stoica. Tachyon: Reliable, memory speed storage for cluster computing frameworks. In *Proceedings of the ACM Symposium on Cloud Computing*, Pages

Publishing Ltd, 2013.

Pages 1-5. IEEE, 2012.

711-730, 2017.

36:80-90, 2014.

295-321, 2017.

[20] Gregory Griffin, Alex Holub, and Pietro Perona. Caltech-256 Object

[21] Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman. The pascal visual object classes (voc) challenge. International Journal of Computer Vision, 88(2):303-338, 2010.

[22] Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 115(3):211-252, 2015.

[23] Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, and Samir Belfkih. Big data technologies: A survey. *Journal of King Saud University-Computer and* Information Sciences,

[24] Raghavendra Kune, Pramod Kumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige, and Rajkumar Buyya. The anatomy of big data computing. Software: Practice and

Experience, 46(1):79-105, 2016.

[25] Desamparados Blazquez and Josep Domenech. Big data sources and methods for social and economic analyses. Technological Forecasting and

Social Change, 130:99-113, 2018.

[26] Alberto Fernández, Sara del Río, Abdullah Bawakid, and Francisco Herrera. Fuzzy rule based classification

30(4):431-448, 2018.

**20**
