[1] Alan Bryman. "The debate about quantitative and qualitative research: a question of method or epistemology?" British Journal of Sociology, 1984, pages 75–92.
[2] Carmela Comito and Domenico Talia. "Energy consumption of data mining algorithms on mobile phones: Evaluation and prediction". Pervasive and Mobile Computing, 2017, Vol. 42, pages 248–264.
[3] D Dacunha-Castelle. "Vedas: A mobile and distributed data stream mining system for real-time vehicle monitoring". 2004.
[4] Ashutosh K Dubey and Shishir K Shandilya. "Exploiting need of data mining services in mobile computing environments". In Computational Intelligence and Communication Networks (CICN), 2010 International Conference on, 2010, pages 409–414. IEEE.
[5] Gregory J Feist and Erika L Rosenberg. "Psychology: perspectives & connections", 2012 pages 12–08.
[6] Rosemary R Gliem and Joseph A Gliem. "Calculating, interpreting, and reporting Cronbach's alpha reliability coefficient for Likert-type scales". Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education. 2003.
[7] Jiawei Han, Jian Pei, and Micheline Kamber. Data mining: concepts and techniques. 2011, Elsevier.
[8] Nitin Jindal and Bing Liu. "Opinion spam and analysis". In Proceedings of the 2008 International Conference on WebSearch and Data Mining, 2008, pages 219–230, ACM.
[9] Hillol Kargupta, Byung-Hoon Park, Sweta Pittie, Lei Liu, Deepali Kushraj, and Kakali Sarkar "Mobimine: Monitoring the stock market from a PDA". ACM SIGKDD Explorations Newsletter, 2002, 3(2) pages 37–46.
[10] Muzammil Khan. "Interactive Data Mining Results Visualization on Mobile Devices". ISBN 978-3-659-46354-9, 2013, LAP USA.
[11] Muzammil Khan, Fida Hussain, and Imran Khan. "Single level drill down interactive visualization technique for descriptive data mining results". International Journal of Grid and Distributed Computing, 2014, 7(4) Pages 33–40.
[12] Muzammil Khan and Sarwar Shah Khan. "Data and information visualization methods, and interactive mechanisms: A survey". International Journal of Computer Applications, 2011, 34(1) Pages 1–14.
[13] Muzammil Khan, Sarwar Shah Khan, and M Daud. "Comparative exploration of data mining results by legend navigation interactive technique". International Journal of Database Theory and Application. 2016, 9(9) Pages 49–58.
[14] Muzammil Khan, Ali Shah, and Israr Ahmad. "Framework for interactive data mining results visualization on mobile devices". International Journal of Database Theory and Application, 2014, 7(4) Pages 23–36.
[15] Ricardo Langner, Tom Horak, and Raimund Dachselt. "Vistiles: Coordinating and combining co-located mobile devices for visual data exploration". IEEE transactions on visualization and computer graphics, 2018, 24(1) Pages 626–636.
[16] Riccardo Mazza and Alessandra Berre. "Focus group methodology for evaluating information visualization techniques and tools". In Information Visualization, 2007. IV’07.11th International Conference, 2007, pages 74–80, IEEE.
[17] Sweta Pittie, Hillol Kargupta, and ByungHoon Park. "Dependency detection in mobimine: a systems perspective. Information Sciences, 2013, 155(3), Pages 227–243.
[18] Calvin Fisher Schmid and Calvin Fisher Schmid. "Statistical graphics; design principles and practices". Technical report, 1983.
[19] Hansi Senaratne, Manuel Mueller, Michael Behrisch, Felipe Lalanne, Javier BustosJim´enez, J¨orn Schneidewind, Daniel Keim, and Tobias Schreck. "Urban mobility analysis with mobile network data: A visual analytics approach". IEEE Transactions on Intelligent Transportation Systems, 2018, 19(5), Pages 1537–1546.
[20] Roberto Sousa, Valentina Nisi, and Ian Oakley. "Glaze: A visualization framework for mobile devices". In IFIP Conference on Human-Computer Interaction, 2009, pages 870–873. Springer.
[21] Frederic Stahl, Mohamed Medhat Gaber, Max Bramer, and S Yu Philip. "Pocket data mining: towards collaborative data mining in mobile computing environments". In 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010, volume 2, pages 323–330. IEEE.
[22] Frederic Stahl, Mohamed Medhat Gaber, Max Bramer, and S Yu Philip. "Distributed hoeffding trees for pocket data mining". In High-Performance Computing and Simulation (HPCS), 2011 International Conference on, 2011, pages 686–692. IEEE.
[23] Frederic Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, and S Yu Philip. "Distributed classification for pocket data mining". In International Symposium on Methodologies for Intelligent Systems, 2011, pages 336–345, Springer.
[24] Domenico Talia, Paolo Trunfio, et al "Mobile data mining on small devices through web services". Mobile Intelligence, 2010, Pages 69- 64.
[25] Lex Van Velsen, Thea Van Der Geest, Rob Klaassen, and Michael Steehouder. "User-centered evaluation of adaptive and adaptable systems: a literature review". The knowledge engineering review, 2008, 23(03) Pages 261–281.
[26] Igor Vasconcelos, Rafael Oliveira Vasconcelos, Bruno Olivieri, Marcos Roriz, Markus Endler, and Methanias Cola¸co Junior. "Smartphone-based outlier detection: a complex event processing approach for driving behavior detection". Journal of Internet Services and Applications, 2017, 8(1) Pages 13.
[27] Frank Wang, Nu Helian, Y Guo, and Hai Jin. "A distributed and mobile data mining system". In Parallel and Distributed Computing, Applications and Technologies. PDCAT’2003. Proceedings of the Fourth International Conference on, 2003, pages 916–918. IEEE.