My Account | Careers | Downloads | Blog

PROJECT TITLE :

An Optimization of Allocation of Information Granularity in the Interpretation of Data Structures: Toward Granular Fuzzy Clustering

ABSTRACT:

Clustering forms one of the most visible conceptual and algorithmic framework of developing information granules. In spite of the algorithm being used, the representation of information granules–clusters is predominantly numeric (coming in the form of prototypes, partition matrices, dendrograms, etc.). In this paper, we consider a concept of granular prototypes that generalizes the numeric representation of the clusters and, in this way, helps capture more details about the data structure. By invoking the granulation–degranulation scheme, we design granular prototypes being reflective of the structure of data to a higher extent than the representation that is provided by their numeric counterparts (prototypes). The design is formulated as an optimization problem, which is guided by the coverage criterion, meaning that we maximize the number of data for which their granular realization includes the original data. The granularity of the prototypes themselves is treated as an important design asset; hence, its allocation to the individual prototypes is optimized so that the coverage criterion becomes maximized. With this regard, several schemes of optimal allocation of information granularity are investigated, where interval-valued prototypes are formed around the already produced numeric representatives. Experimental studies are provided in which the design of granular prototypes of interval format is discussed and characterized.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Pricing and Resource Allocation Optimization for IoT Fog Computing and NFV: An EPEC and Matching Based Perspective ABSTRACT: The Internet of Things (IoT) is experiencing explosive growth on a global scale, with
PROJECT TITLE : Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks ABSTRACT: Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects
PROJECT TITLE : Multi-Query Optimization of Incrementally Evaluated Sliding-Window Aggregations ABSTRACT: The successful implementation of a large number of aggregate continuous queries is essential to the success of online analytics
PROJECT TITLE : Optimizing Speculative Execution in Spark Heterogeneous Environments ABSTRACT: In computing environments that use Spark, a few tasks that run more slowly than others can extend the total amount of time it takes
PROJECT TITLE : Multi-tier Workload Consolidations in the Cloud Profiling, Modeling and Optimization ABSTRACT: It is becoming increasingly important to cut down on tail latency in order to improve the experience that users have

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry