Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

(1.19MB)
This is an Open Access publication published under CSC-OpenAccess Policy.

PUBLICATIONS BY COUNTRIES

Top researchers from over 74 countries worldwide have trusted us because of quality publications.

United States of America
United Kingdom
Canada
Australia
Malaysia
China
Japan
Saudi Arabia
Egypt
India
Exploring Knowledge for a Common Man through Mobile Services and Knowledge Discovery in Databases
Mayank Dave, S. B. Singh, Sanjeev Manchanda
Pages - 43 - 61     |    Revised - 20-02-2009     |    Published - 15-03-2009
Volume - 3   Issue - 1    |    Publication Date - February 2009  Table of Contents
MORE INFORMATION
KEYWORDS
Data mining, Knowledge Discovery in Databases, Global Positioning System, Geographical Information System, Mobile Services
ABSTRACT
Every common man needs some guidance/advice from his/her friends/relatives/known one, whenever he/she wants to buy something or want to visit somewhere. In this paper authors propose a system to fulfill the knowledge requirements of a common man through mobile services using data mining and knowledge discovery in databases. This system will enable us to furnish such information to a common man without any cost or at a low cost and with least effort. A comparison of proposed system is provided with reference to other available systems.
1 Google Scholar 
2 Academic Journals Database 
3 ScientificCommons 
4 CiteSeerX 
5 refSeek 
6 iSEEK 
7 Socol@r  
8 ResearchGATE 
9 Libsearch 
10 Bielefeld Academic Search Engine (BASE) 
11 Scribd 
12 WorldCat 
13 SlideShare 
14 PDFCAST 
15 PdfSR 
16 Chinese Directory Of Open Access 
1 Abel, D.J. and Ooi, B.C.(1993). An Introduction to Spatial Database Systems. Proceedings of the Third lnternational Symposium on Large Spatial Databases, Singapore.
2 Aggarwal Rakesh, Ghosh Sakti, ImielinskiTomasz, Iyer Bala and Swami Arun (1992). An interval classifier for database mining applications. VLDB.
3 Agrawal Rakesh, Imielinski Tomasz and Swami Arun N. (1993). Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference: 207-216.
4 Anselin, L. (2000). Computing environments for spatial data analysis. Journal of Geographical Systems, 2(3):201–220.
5 Buchmann A. and Giinther O. (1990). Research issues in spatial databases. ACMSIGMOD Record, 19:61-68.
6 Buchmann A., Gfinther O., Smith T.R., and Wang Y.E. (1989), An Introduction to Spatial Database Systems. Proceedings of the First International Symposium on Large Spatial Databases, Santa Barbara,.
7 Cook, D., Majure, J., Symanzik, J., and Cressie, N. (1996). Dynamic graphics in a GIS: A platform for analyzing and exploring multivariate spatial data. Computational Statistics, 11:467–480.
8 Delone, W. H. and E. R. McLean (1992). "Information systems success: the quest for the dependent variable." Information Systems Research 3(1): 60-95.
9 Dykes, J. A. (1997). Exploring spatial data representation with dynamic graphics. Computers and Geosciences, 23:345–370.
10 ESRI (2004). An Overview of the Spatial Statistics Toolbox. ArcGIS 9.0 Online Help System (ArcGIS 9.0 Desktop, Release 9.0, June 2004). Environmental Systems Research Institute, Redlands, CA.
11 Fischer, M. and Nijkamp, P. (1993). Geographic Information Systems, Spatial Modelling and Policy Evaluation. Springer-Verlag, Berlin.
12 Fischer, M. M. and Getis, A. (1997). Recent Development in Spatial Analysis. Springer- Verlag, Berlin.
13 Fischer, M. M., Scholten, H. J., and Unwin, D. (1996). Spatial Analytical Perspectives on GIS. Taylor and Francis, London.
14 Fotheringham, A. S. and Rogerson, P. (1993). GIS and spatial analytical problems. International Journal of Geographical Information Systems, 7:3–19.
15 Fotheringham, A. S. and Rogerson, P. (1994). Spatial Analysis and GIS. Taylor and Francis, London.
16 Frank A. (1991). Properties of geographic data: Requirements for spatial access methods. Proceedings of the Second International Symposium on Large Spatial Databases, Zurich.
17 Fröhlich, M. and J. Mühlig (2002). Usability in der Konzeption. Usability Nutzerfreundiches Web-Design. Berlin.
18 Giinther, O. and Schek, H.-J. (1991). An Introduction to Spatial Database Systems. Proceedings of the Second International Symposium on Large Spatial Databases, Zurich.
19 Goodchild, M. F., Haining, R. P., Wise, S., and others (1992). Integrating GIS and spatial analysis — problems and possibilities. International Journal of Geographical Information Systems, 6:407–423.
20 Google Earth - Home(2007): http://earth.google.com
21 Google Maps(2007). http://maps.google.com
22 Google Mobile Maps(2007). http://www.google.com/gmm/index.html
23 Haining, R. (1989). Geography and spatial statistics: Current positions, future developments. In Macmillan, B., editor, Remodelling Geography, pages 191–203. Basil Blackwell, Oxford.
24 Han J., Fu Y., and Ng R. (1994). Cooperative Query Answering Using Multiple Layered Databases, Proc. 2nd Int'l Conf. on Cooperative Information Systems (CoopIS'94), Toronto, Canada, May, pp. 47-58.
25 Han J., Fu Y., Koperski K., Melli G., Wang W., Zaïane O. R. (1995). Knowledge Mining in Databases: An Integration of Machine Learning Methodologies with Database Technologies, Canadian Artificial Intelligence, October.
26 Han J., Nishio S., Kawano H., and Wang W. (1998). Generalization-Based Data Mining in Object-Oriented Databases Using an Object-Cube Model. Data and Knowledge Engineering , 25(1-2):55-97.
27 Han Jiawei, Cai Yandong and Cercone Nick (1991). Concept-Based Data Classification in Relational Databases. Workshop Notes of 1991 AAAI Workshop on Knowledge Discovery in Databases (KDD'91), Anaheim, CA, July, pp. 77-94.
28 Haslett, J., Wills, G., and Unwin, A. (1990). SPIDER — an interactive statistical tool for the analysis of spatially distributed data. International Journal of Geographic Information Systems, 4:285–296.
29 Holsheimer Marcel and Siebes Arno (1994). Data Mining: The Search for Knowledge in Databases. Technical Report CS-R9406, CWI, Amsterdam.
30 Hynek, T. (2002). User experience research- treibende Kraft der Designstrategie. Usability Nutzerfreundliches Webdesign. Berlin, Springer Verlag: 43-59.
31 Jorge B. Bocca (1991). Logic Programming Environments for Large Knowledge Bases: A Practical Perspective . VLDB: 563.
32 Kawano H., Nishio S., Han J., and Hasegawa T. (1994). How Does Knowledge Discovery Cooperate with Active Database Techniques in Controlling Dynamic Environment?, in Proc. 5th Int'l Conf. on Database and Expert Systems Applications (DEXA'94), Athens, Greece, September, pp. 370-379.
33 Kohavi Ron and Sommerfield Dan (1996). Data Mining using MLC++ A Machine Learning Library in C++. Tools With AI, pages 234–245.
34 Levine, N. (2004). The CrimeStat program: Characteristics, use and audience. Geographical Analysis. Forthcoming.
35 Li W., Han J., and Pei J. (2001). CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules, Proc. 2001 Int. Conf. on Data Mining (ICDM'01), San Jose, CA, Nov..
36 Mannila Heikki, Toivonen Hannu and Verkamo A. (1994). Inkeri: Efficient Algorithms for Discovering Association Rules. KDD Workshop: 181-192.
37 Mapquest.com (2007): http://city.mapquest.com
38 Mayhew, D. J. (2002). The Usability Engineering Lifecycle - A practitioner's handbook for user interface design. San Francisco, California, Morgan Kaufmann Publlishers Inc.
39 Micheline Kamber, Winstone Lara, Gon Wang and Han Jiawei (1997). Generalization and Decision Tree Induction: Efficient Classification in Data Mining. RIDE.
40 Monmonier, M. (1989). Geographic brushing: Enhancing exploratory analysis of the scatterplot matrix. Geographical Analysis, 21:81–4.
41 MSN Virtual Earth(2007). http://maps.live.com
42 Ng R. and Han J. (1994). Efficient and Effective Clustering Method for Spatial Data Mining, Proc. of 1994 Int'l Conf. on Very Large Data Bases (VLDB'94), Santiago, Chile, September, pp. 144-155.
43 Redman, T. (1996). Data Quality for the Information Age. Boston, London, Artech House.
44 Rey, S. J. and Janikas, M. V. (2004). STARS: Space-time analysis of regional systems. Geographical Analysis. forthcoming.
45 Symanzik, J., Cook, D., Lewin-Koh, N., Majure, J. J., and Megretskaia, I. (2000). Linking ArcView and XGobi: Insight behind the front end. Journal of Computational and Graphical Statistics, 9(3):470–490.
46 Takatsuka, M. and Gahegan, M. (2002). GeoVISTA Studio: A codeless visual programming environment for geoscientific data analysis and visualization. Computers and Geosciences, 28:1131–1141.
47 Tayi, G. K. and Ballou D. p. (1998). Examing data quality. Communications of the ACM. 41 (2): 54-57.
48 Unwin, A. (1994). REGARDing geographic data. Computational Statistics, pages 345–354. Physica Verlag, Heidelberg.
49 Wang, R. Y., Strong D. M., (1999). An information quality assessment methodoligy. Proceedings of the International Conference on Information Quality, Cambridge MA.
50 Wise, S., Haining, R., and Ma, J. (2001). Providing spatial statistical data analysis functionality for the GIS user: the SAGE project. International Journal of Geographic Information Science, 15(3):239–254.
51 Yahoo Maps, Driving Directions, and Traffic (2007). http://maps.yahoo.com
52 Yoo J. S. and Shekhar S. (2006). A join less approach for mining spatial collocation patterns. IEEE Transactions on Knowledge and Data Engineering, Vol. 18, No. 10, October.
Mr. Mayank Dave
- India
mdave67@yahoo.com
Mr. S. B. Singh
- India
Mr. Sanjeev Manchanda
- India