cspit@charusat.ac.in +91-2697-265131

Database Management


Database Management Lab of IT department resides at lab no. 406-A 1st floor of CE/IT building.Database management is automated System that manages, modifies and updates the data accurately in robust, correct and non-redundant way. Research in Database and Information System focuses on the development and application of Database models, techniques, and algorithms for information processing, broadly construed. The Laboratory has the software Such as SQL , ORACLE , MS-Access etc. to implementations of various DDL and DML Queries.

Course Information

Resources and Configurations

Softwares
  • IT248 - Database Management System
  • IT247 - Data Structure and Analysis
  • IT415 - Data Warehousing and Data Mining
  • Number of Computers: 23
  • Operating System: Windows/Linux
  • Model: HCL
  • Processor: INTEL CORE I3 2100, 3.1 GHZ
  • RAM:4GB DDR-3
  • Storage:320GB SATA HDD
  • Cisco Manageable Network Switch
  • CodeBlocks
  • VMWare Virtual Box
  • Pycharm(python)
  • Adobe ACrobat Document
  • Notepad++
  • Netbeans(Java)
  • Microsoft Office

Publication


Sr. No. Publication
1 Nikita Bhatt, Amit Thakkar, and Amit Ganatra. A survey and current research challenges in meta learning approaches based on dataset characteristics. International Journal of soft computing and Engineering, 2(10):234-247, 2012.
2 Nikita Bhatt, Amit Thakkar, Amit Ganatra, and Nirav Bhatt. Ranking of classifiers based on dataset characteristics using active meta learning. International Journal of Computer Applications, 69(20), 2013.
3 Nikita Bhatt, Amit Thakkar, Amit Ganatra, and Nirav Bhatt. The multicriteria ranking approach to classification algorithms using uncertainty sampling method of active meta learning. 2014.
4 Chetna Chand, Amit Thakkar, and Amit Ganatra. Sequential pattern mining: Survey and current research challenges. International Journal of Soft Computing and Engineering, 2(1):185-193, 2012.
5 Anjali Gupta and Amit R Thakkar. Optimization of stacking ensemble configuration based on various metahueristic algorithms. In Advance Computing Conference (IACC), 2014 IEEE International, pages 444-451. IEEE, 2014.
6 Urvashi Mistry and Amit R Thakkar. Link-based classification for multirelational database. In Recent Advances and Innovations in Engineering (ICRAIE), 2014, pages 1-6. IEEE, 2014.
7 Reema Patel, Amit Thakkar, and Amit Ganatra. A survey and comparative analysis of data mining techniques for network intrusion detection systems. International Journal of Soft Computing and Engineering (IJSCE) ISSN, pages 2231-2307, 2012.
8 Purvi Prajapati, Amit Thakkar, and Amit Ganatra. A survey and current research challenges in multi- label classification methods. International Journal of Soft Computing and Engineering (IJSCE), 2(1):248-252, 2012.
9 Komal Shah, Amit Thakkar, and Amit Ganatra. A study on association rule hiding approaches.International Journal of Engineering and Advanced Technology (IJEAT) ISSN, pages 2249-8958, 2012.
10 Sanket Shah, Amit Thakkar, and Sonal Rami. A survey paper on skyline query using recommendation system. International Journal of Data Mining and Emerging Technologies, 6(1):1-6, 2016.
11 Amit Thakkar and Yogesh P Kosta. Improving efficiency of heterogeneous multi relational classification by choosing efficient classifiers using ratio of success rate and time. Intelligent Automation & Soft Computing, 23(1):75-86, 2017.
12 Amit Thakkar and Yogeshwar Prasad Kosta. Efficient heterogeneous multirelational classification using multi-criteria ranking approach based on characteristics of multiple relations. JCP, 10(6):418-426, 2015.
13 Amit Thakkar and YP Kosta. Improving efficiency of relational classification technique based on relational database using contribution of tables. International Journal of Data Mining And Emerging Technologies, 4(1):1-9, 2014.
14 Amit R Thakkar. Multi relational classification in multi relational datamining. 2016.
15 Amit Thakkar and YP Kosta. Date classification through integration of sequential process involving data cleaning, attribute oriented induction, relevance analysis as preprocessor to induction of decision tree using relational database. International Journal of Engineering Science and Technology, 3(2), 2011.
16 Vishwas J Raval and Parth Shah. Abrdbms {a new paradigm in information storage and retrieval from rdbms.
17 Amit Ganatra Yogesh Kosta Parth Shah, Amit Thakkar. Using fragmentation (partitioning) and replication (materialized views) to improve performance of queries for distributed database. In International Conference on Data management, 2010.

Contact Us

Address

Department of Information Technology
Charotar University of Science and Technology,
CHARUSAT Campus, Changa
Taluka: Petlad, Dist: Anand
Gujarat (India) 388 421

Phone Number

+91-2697-265131

Email

cspit@charusat.ac.in