IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology

López-Torres, Sandra; López-Torres, Humberto; Rocha-Rocha, Jimmy; Butt, Shariq Aziz; Tariq, Muhammad Imran; Collazos-Morales, Carlos; Piñeres-Espitia, Gabriel

doi:10.1007/978-3-030-44689-5_20

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…The network lifespan has increased by 48.9% as opposed to the previous approaches. In the meantime, the trust model presented in this study will significantly boost the node safety level recognition performance that reached 91 percent when using only 8% of network life [33].…”

Section: Transmit Blockmentioning

confidence: 91%

Hierarchical Routing Protocols for Wireless Sensor Networks: Functional and Performance Analysis

et al. 2021

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Wireless sensor network (WSN) comprises of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, and pressure, and to cooperatively forward the collected information to the destination through the network infrastructure. As sensor nodes are energy constraint devices, therefore, the importance of energy efficient routing protocols has been increased. In order to minimize energy consumption, recently, a number of hierarchical routing protocols are proposed. For instance, LEACH is an elementary hierarchical routing protocol that employs clustering technique to achieve energy efficiency. A lot of research work has been performed to remove shortcomings and to improve the performance of hierarchical routing protocols. Therefore, a comprehensive review is required which can review state-of-the-art technologies, analyze functional and performance aspects, and highlight hierarchical routing protocol issues and challenges in WSNs. This paper proposes a taxonomy for the classification of existing hierarchical routing protocols for WSNs and analyzes the functionality and performance of existing hierarchical routing protocols. Moreover, it compares existing routing protocols to highlight key technological differences and provides performance comparison for the selected LEACH based routing protocols. Finally, the paper spotlights issues and challenges in existing routing protocols of WSNs, which can assist in future research for the selection of appropriate research domain and provide guidance in selection of energy efficient techniques in the design of energy efficient of routing protocols for WSNs.

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Section: Transmit Blockmentioning

confidence: 91%

Hierarchical Routing Protocols for Wireless Sensor Networks: Functional and Performance Analysis

et al. 2021

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“…Semma's methodology consists of five steps: demonstration, exploration, modification, modeling, and evaluation [36].…”

Section: Comparison Of Methodologiesmentioning

confidence: 99%

Data mining for predictive analysis in gynecology: a focus on cervical health

Andrade-Arenas,

Rubio-Paucar,

Yactayo-Arias

2024

IJECE

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Currently, data mining based on the application of detection of important patterns that allow making decisions according to cervical cancer is a problem that affects women from the age of 24 years and older. For this purpose, the Rapid Miner Studio tool was used for data analysis according to age. To perform this analysis, the knowledge discovery in databases (KDD) methodology was used according to the stages that this methodology follows, such as data selection, data preparation, data mining and evaluation and interpretation. On the other hand, the comparison of methodologies such as the standard intersectoral process for data mining (Crips-dm), KDD and sample, explore, modify, model, evaluate (Semma) is shown, which is separated by dimensions and in each dimension both methodologies are compared. In that sense, a graph was created comparing algorithmic models such as naive Bayes, decision tree, and rule induction. It is concluded that the most outstanding result was -1.424 located in cluster 4 in the attribute result date.

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“…KDD is a broader approach than SEMMA and refers to the entire process of knowledge discovery in databases, including the identification of useful patterns [40].…”

Section: Comparison Of Methodologiesmentioning

confidence: 99%

Predictive models in Alzheimer's disease: an evaluation based on data mining techniques

Andrade-Arenas,

Rubio-Paucar,

Yactayo-Arias

2024

IJECE

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The increasing prevalence of Alzheimer's disease in older adults has raised significant concern in recent years. Aware of this challenge, this research set out to develop predictive models that allow early identification of people at risk for Alzheimer's disease, considering several variables associated with the disease. To achieve this objective, data mining techniques were employed, specifically the decision tree algorithm, using the RapidMiner Studio tool. The sample explore modify model and assess (SEMMA) methodology was implemented systematically at each stage of model development, ensuring an orderly and structured approach. The results obtained revealed that 45.00% of people with dementia present characteristics that identify them as candidates for confirmation of a diagnosis of Alzheimer's disease. In contrast, 52.78% of those who do not have dementia show no danger of contracting the disease. In the conclusion of the research, it was noted that most patients diagnosed with Alzheimer's are older than 65 years, indicating that this stage of life tends to trigger brain changes associated with the disease. This finding underscores the importance of considering age as a key factor in the early identification of the disease.

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IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology

Cited by 7 publications

References 26 publications

Hierarchical Routing Protocols for Wireless Sensor Networks: Functional and Performance Analysis

Hierarchical Routing Protocols for Wireless Sensor Networks: Functional and Performance Analysis

Data mining for predictive analysis in gynecology: a focus on cervical health

Predictive models in Alzheimer's disease: an evaluation based on data mining techniques

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