Proposal and Survey of Various Data Mining Aspects in Mobile Computing Environment

  • Harcharan Singh Pabla
  • Sukhdeep Singh
  • Niyati Gupta
  • Palak Makhija
  • Prabhjot Kaur
  • Gurpal Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 258)

Abstract

Data mining has its own statuary position in the communication industry. The other term coined for data mining is knowledge discovery of databases it might be mobile databases also. The analysis and discussion of different aspects of mining on mobile environment has been carried out in this paper. Firstly we have proposed two mining approaches for mobile environment i.e. CSU (Create, Select, Update) algorithm and CSA (Create, Select, Alter) algorithm. These two algorithms are achieved by CLDC component of J2ME which has also been discussed in the same paper. Secondly, we have proposed a new term i.e. Ambulatory Data Mining (ADM) which is used to perform collaborative mining of data streams in mobile environments. Wireless communication technologies like Wi-Fi and Bluetooth, which interconnect the mobile devices, have opened doors for collaborative mining amongst the mobile devices targeting the same applications which are used for running data mining techniques on mobile devices. This collaborative mining has been achieved with the help of various mobile software agents. So, in the last section we have conducted a survey of various mobile software agents like INTELLIMINER, PADMA, PAPYRUS, HYBRID, KENSINGTON and DKN and discussed their salient features.

Keywords

Mining CSU CSA CLDC Mobile software agents 

References

  1. 1.
    Migliardi, M., Maheswaran, M., Maniymaran, B., Card, P.: Mobile interfaces to computational, data, and service grid systems. ACM SIGMOBILE Mob. Comput. Commun. Rev. 6(4), 8–15 (2004)Google Scholar
  2. 2.
    Wesner, S., Dimitrakos, T., Jeffrey, K.: Akogrimo—the grid goes mobile. In: ERCIM, vol. 59 (2004)Google Scholar
  3. 3.
    Arcelus, A., Jones, M.H., Goubran, R., Knoefel, F.: Advanced information networking and applications workshops, 2007, AINAW. In: 21st International Conference, May 2007Google Scholar
  4. 4.
    Bahati, R.M., Bauer, M.A.: In: ICAS’08: Proceedings of the Fourth International Conference on Autonomic and Autonomous Systems (ICAS’08), pp. 88–93, IEEE Computer Society, Washington, DC, USA (2008)Google Scholar
  5. 5.
    Ortiz, 2004a, A Survey of J2ME Today, Sun Developer Network (SDN), viewed 13 August 2007Google Scholar
  6. 6.
    Dubey, A.K., Kushwaha, G.R., Prakash, J.: A novel CSUA based data mining approach for mobile computing environments. Int. J. Comput. Appl. (0975–8887) 7(4), 23–26 (2010)Google Scholar
  7. 7.
    Bellifemine, F., Poggi, A., Rimassa, G.: Developing multi-agent systems with JADE. In: Castelfranchi, C., Lesperance, Y. (eds.) Intelligent Agents VII. Agent Theories Architectures and Lan- guages, 7th International Workshop, ATAL 2000, Boston, MA, USA, July 7–9, 2000, Proceedings. Lecture Notes in Computer Science, vol. 1986, pp. 89–103. Springer Verlag (2000)Google Scholar
  8. 8.
    Stahl, F., Gaber, M.M., Bramer, M., Yu, P.S.: Pocket data mining: towards collaborative data mining in mobile computing environments. In: Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on, vol. 2, pp. 323, 330, 27–29 Oct 2010 doi:  10.1109/ICTAI.2010.118
  9. 9.
    Park, B.-H., Kargupta, H.: Distributed data mining: algorithms, systems, and applications. In: Ye, N. (ed.) Handbook of Data Mining, p. 341361. Lawrence Erlbaum, Hillsdale (2003)Google Scholar
  10. 10.
    Provost, F.: Distributed data mining: scaling up and beyond. In: Advances in Distributed and Parallel Knowledge Discovery, pp. 3–27. MIT Press (2000)Google Scholar
  11. 11.
    Kargupta, H., Park, B.-H., Hershberger, D., Johnson, E.: Collective data mining: a new perspective toward distributed data analysis. In: Advances in Distributed and Parallel Knowledge Discovery, pp. 133–184. AAAI/MIT Press (1999)Google Scholar

Copyright information

© Springer India 2014

Authors and Affiliations

  • Harcharan Singh Pabla
    • 1
  • Sukhdeep Singh
    • 2
  • Niyati Gupta
    • 2
  • Palak Makhija
    • 2
  • Prabhjot Kaur
    • 1
  • Gurpal Singh
    • 3
  1. 1.Department of Engineering and Computer ScienceConcordia UniversityMontrealCanada
  2. 2.Department of Computer Science and EngineeringGyan Vihar UniversityJaipurIndia
  3. 3.Department of Information and TechnologyGyan Vihar UniversityJaipurIndia

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