Three Phase Iterative Model of Kdd
نویسندگان
چکیده
KDD (Knowledge Discovery in Data Bases) is multi-step process. KDD is the process that navigation to knowledge from the data base according to user requirements. This paper mainly explains the concept of three phase iterative model of KDD. It elaborates the traditional process of KDD and also explains the various limitations in that process. This paper also explained the process of three phase iterative model of KDD that can overcome some of the limitations caused in traditional process.
منابع مشابه
Perfect Tracking of Supercavitating Non-minimum Phase Vehicles Using a New Robust and Adaptive Parameter-optimal Iterative Learning Control
In this manuscript, a new method is proposed to provide a perfect tracking of the supercavitation system based on a new two-state model. The tracking of the pitch rate and angle of attack for fin and cavitator input is of the aim. The pitch rate of the supercavitation with respect to fin angle is found as a non-minimum phase behavior. This effect reduces the speed of command pitch rate. Control...
متن کاملPhase Only Synthesis of Antenna Patterns Using Iterative Restoration Methods
In this work, the method of iterative Fourier transform phase reconstruction, conventionally used in holography and optical image reconstruction, is applied to phase only synthesis of antenna patterns. The method is applied to two types of pattern synthesis problems: "main lobe beam shaping" and "side-lobe-level reduction". The proposed method is most useful in the efficient employment of attai...
متن کاملOntology-Based Knowledge Model for Multi-View KDD Process
Knowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process that involves several types of knowledge and expertise. In this paper we propose to support users of a multi-view analysis (a KDD process held by several experts who analyze the same data with different viewpoints). Our objective is to enhance both the reusability of the process and coordination betwee...
متن کاملInformation Modeling and Management for Eecient Kdd{ Processes
Knowledge discovery in databases (KDD) is a highly user{interactive, iterative and long{ lasting process, where the data analyst must combine several processing algorithms to derivation processes (so{called streams) and afterwards has to interpret the results in order to prepare for the sensible next steps. A key factor to success within this iterative cycle of modelling and executing complex p...
متن کاملContributions of KDD to the Knowledge Management Process: a Case Study
Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is grossly described in three steps: pre-processing, data mining, and post-processing. The latter is mainly related to the task of transforming in knowledge the patterns issued in the data mining step. On the other hand, ...
متن کامل