An effective assessment of cluster tendency through sampling based multi-viewpoints visual method

Prasad, K. Rajendra; Reddy, B. Eswara; Mohammed, Moulana

doi:10.1007/s12652-020-02710-8

Cited by 9 publications

(2 citation statements)

References 35 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There's an urgent need for a robust model that navigates the intricacies of device communication data and provides tangible insights for device functionality enhancement and security fortification [16][17][18][19][20]. This backdrop amplifies the motivation behind the proposed work, which aims to leverage the K-means clustering algorithm to decode intricate communication patterns from modern electronic devices [21][22][23].…”

Section: Literature Reviewmentioning

confidence: 99%

Harnessing K-means Clustering to Decode Communication Patterns in Modern Electronic Devices

Gonzales,

S S

et al. 2024

JMC

View full text Add to dashboard Cite

From smart home devices to wearable devices, electronics have become an indispensable part of modern life. Vast volumes of data have been collected by these electronic devices, revealing precise information about device communications, user behaviours, and more. Improvements to device features, insights into the user experience, and the detection of security risks are just some of the many uses for this information. However, advanced analytical methods are required to make sense of this plethora of data successfully. The K-means clustering algorithm is used in the present research to analyse the data sent and received by different types of electronics. The first step of the research is collecting data, intending to create a representative sample of people using various devices and communication methods. After collecting data, preprocessing is necessary to ensure it can be analysed successfully. In the next step, the K-means algorithm classifies the information into subsets that stand for distinct modes of interaction. The primary objective of the research is to gain an improved understanding of these groups by demonstrating how users communicate, device communication, and possibilities for enhancing functionality and security.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Harnessing K-means Clustering to Decode Communication Patterns in Modern Electronic Devices

Gonzales,

S S

et al. 2024

JMC

View full text Add to dashboard Cite

show abstract

“…Due to its versatility, ability to fulfill specific needs and schedules, and ability to create skills beyond studies, BL has risen in demand [43][44][45][46][47][48] . Learners develop natural talents, collaborative behavior, and knowledge of technology, which are fundamental in today's networked educational environment [49][50][51][52][53][54] .…”

Section: Introductionmentioning

confidence: 99%

Design and evaluation of multimodal learning resources in blended teaching of college English

Zhang,

2024

ESP

View full text Add to dashboard Cite

Higher Education (HE) is transforming towards embracing global pedagogical standards, particularly emphasizing student-centered learning models. In conjunction with these progressive initiatives, the incorporation of the Internet is aimed at enhancing course flexibility for both university instructors and students. Blended Learning (BL), a synthesis of online and face-to-face instruction, emerges as a methodology capable of leveraging the advantages inherent in both traditional classroom learning and online learning environments. The research being examined discovers the HE sector's application of globally recognized educational ethics and student-focused teaching. Online access has better-quality course flexibility. This type of education, which participates in classroom teaching with Online Education (OE), is being verified for communication skills. The research uses Moodle and a predictable informative setting to deal with several modes of education. The 49 HE pupils shared in a pre and post-test. Combining teaching improves communication skills, increasing the relationship between students and educators for a more practical education practice.

show abstract

Yield Prediction of Indian Crops Based on Weather Data

Athulya

Ismail

2022

Advances in Communication, Devices and Networking

View full text Add to dashboard Cite

An effective assessment of cluster tendency through sampling based multi-viewpoints visual method

Cited by 9 publications

References 35 publications

Harnessing K-means Clustering to Decode Communication Patterns in Modern Electronic Devices

Harnessing K-means Clustering to Decode Communication Patterns in Modern Electronic Devices

Design and evaluation of multimodal learning resources in blended teaching of college English

Yield Prediction of Indian Crops Based on Weather Data

Contact Info

Product

Resources

About