Intuitive Approach to use Intelligent Database for Prediction

Bhatia, Prateek; Khurana, Nakul; Sharma, Neha
December 2013
International Journal of Computer Applications;Dec2013, Vol. 83, p36
Academic Journal
The concept of Intelligent Databases was introduced in 1980's, as expectations from the conventional databases had increased over the time. A database which could manage information on its own was much anticipated. Over the years, there has been significant development and advances in this field. Different approaches of integrating AI/DB to form an Intelligent Database have been introduced from time to time. The underlying concepts that have been proved separately as well as jointly, are the prime motivations and foundations of this paper. In addition to this, the use of artificial intelligence for prediction/forecasting has led to the conceptual approach of putting together more than two technologies for the betterment of not only our future, but for the next generation of computing. Few different approaches to AI/DB integration have been studied and reported in this paper.


Related Articles

  • Piecing It All Together. Sadykhov, Oleg // Best's Review;Dec2012, Vol. 113 Issue 8, p59 

    The article focuses on the importance of proper system architecture and the implementation of small-team strategies to the success of big information technology (IT) programs. It says that small groups can work independently and communicate more efficiently than big teams. It mentions that...

  • AUTONOMOUS EMOTION RECOGNITION SYSTEM: APPROACHES FOR DATA MINING. Drungilas, Darius; Bielskis, Antanas Andrius // Management (16487974);2009, Vol. 15 Issue 2, p179 

    The detection of emotion is becoming an increasingly important field for human-computer interaction as the advantages emotion recognition offer become more apparent and realisable. However there are still many issues (data filtering, parameter's extraction, data preprocessing, interpreting,...

  • Automated API Property Inference Techniques. Robillard, Martin P.; Bodden, Eric; Kawrykow, David; Mezini, Mira; Ratchford, Tristan // IEEE Transactions on Software Engineering;May2013, Vol. 39 Issue 5, p613 

    Frameworks and libraries offer reusable and customizable functionality through Application Programming Interfaces (APIs). Correctly using large and sophisticated APIs can represent a challenge due to hidden assumptions and requirements. Numerous approaches have been developed to infer properties...

  • Development of an Intelligent Approach for Medical Knowledge Discovery and Decision Support. Sakr, Ali A.; Mosa, Diana T.; Shehabeldien, Abdelhafiz // International Journal of Computer Applications;Aug2014, Vol. 99, p24 

    Electronic knowledgebase (including Electronic Medical Record), together with inference procedures, form an intelligent medical information systems that offers many possibilities for health care providers. It acts as a strong base for scientific upgrading and provides an enormous support for...

  • A FRAMEWORK: CLUSTER DETECTION AND MULTIDIMENSIONAL VISUALIZATION OF AUTOMATED DATA MINING USING INTELLIGENT AGENTS. Jayabrabu, R.; Saravanan, V.; Vivekanandan, K. // International Journal of Artificial Intelligence & Applications;Jan2012, Vol. 3 Issue 1, p125 

    Data Mining techniques plays a vital role like extraction of required knowledge, finding unsuspected information to make strategic decision in a novel way which in term understandable by domain experts. A generalized frame work is proposed by considering non — domain experts during mining...

  • Implementation of Data Mining in Estimating The Growth Of Local Sheep. Kardiana, Aan; Khotijah, Lilis // International Journal of Computer Science Issues (IJCSI);Jan2013, Vol. 10 Issue 1, p140 

    Data mining is a process to use statistical technique, mathematics, artificial intelligence, and learning machine to extract, identify beneficial information and discovery knowledge from database. In this research, the authors apply this method to estimate the growth of local sheep. Research...

  • Enhanced K-mean Algorithm to Improve Decision Support System under Uncertain Situations. El Seddawy, Ahmed Bahgat; Sultan, Turky; Khedr, Ayman // International Journal of Computer Science & Network Security;Jul2013, Vol. 13 Issue 7, p50 

    Decision Support System (DSS) is equivalent synonym as management information systems (MIS). Most of imported data are being used in solutions like data mining (DM). Decision supporting systems include also decisions made upon individual data from external sources, management feeling, and...

  • DISTRIBUTED DATA MINING AND AGENT MINING INTERACTION AND INTEGRATION: A NOVEL APPROACH. Rao, Vuda Sreenivasa; Vidyavathi, S.; Ramaswamy, G. // International Journal of Research & Reviews in Applied Sciences;2010, Vol. 4 Issue 4, p388 

    In recent years, more and more researchers have been involved in research on both agent technology and distributed data mining. A clear disciplinary effort has been activated toward removing the boundary between them, that is the interaction and integration between agent technology and...

  • EXTRACTING FORMATIONS FROM LONG FINANCIAL TIME SERIES USING DATA MINING. Karagianni, Stella; Sfetsos, Thanasis; Siriopoulos, Costas // Brussels Economic Review;2010, Vol. 53 Issue 2, p273 

    Technical analysis has become a custom decision support tool for traders and analysts, though not widely accepted by the academic community. It is based on the identification of a series of well-defined formations appearing over irregular intervals. The same principle forms the basis for the...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics