Task 1- PPT

Introduction

  • Data mining helps in finding data from a large data set this data mining help identifying all chapters of data in a much effective manner
  • In this presentation, different data mining techniques have discussed that help in finding data from the large data set.
  • Finding the pattern of data often helps in reducing the rate of cyber crime, and for this reason, data set mining is very much effective.

In this paper, different techniques of data mining will be analysed along with the benefits of different data mining techniques.

Discussion and Analysis

  • Tracking pattern is the basic technique used in data mining to identify the pattern of the dataset.
  • These tracking patterns help in uplifting the level of performances and all the patterns associated with the dataset can be analysed in a proper manner [2].
  • The tracing patterns are helpful as this increases the website optimisation process, whereas it also helps in identifying the shopping patterns.

Track pattern is a primary step in the data mining process as this step unlit the level of performances and improves all the statistics associated with the dataset. Proper analysis of the dataset can help in improving the business process. Organisation often uses this data mining analysis process to have an overview of customer preferences.

  • Outlier detection plays an important role in the dataset analysis process [3]
  • This outlier detection helps to analyse all the patterns associated with the data set in the proper manner.
  • This outlier detection in data mining techniques often helps in finding the anomalies; deleting the anomalies often help in improving the website optimisation process.

Identifying all the anomalies present on the website often help in identifying the traffic pattern on the website. This outlier detection simply helps in detecting the overarching patterns associated with the project methods.

  • Clustering techniques help in the classification of groups from the large dataset.
  • This large dataset helps in clustering all the information in a much effective manner as this help in resolving all the chunks of data associated with the groups [14].
  • This clustering technique has been supported by the regression techniques as proper planning for dataset mining is essential as this will improve the level of performances.

Regression significantly plays an important role in the data mining process, and this step helps in resolving all the issues in a much effective manner. For planning and modelling of the data mining regression techniques is used this regression techniques often help in clustering the groups that have been associated with this phase.

Conclusion

  • Association is related to the tracking patterns this association process often helps in resolving all the issues in a much effective manner.
  • In this presentation, different data mining techniques have been highlighted along with different data mining techniques different benefits and their uses have been discussed.
  • Proper planning and use of roper too often help in resolving all the issues in a much effective manner

This assignment data mining techniques such as outlier detection and its benefit, regression techniques and its benefits have been discussed. This data mining often helps in adopting the proper strategy in business. Effective business strategy can uplift the level of performances and increase the market share.

Part 2

Introduction

In this research paper, automation data processing techniques have been used, in this research paper, all the information about the automation data processing techniques will be discussed along with automatic data processing techniques effective use of hybrid intelligence relationship will be determined. The article highlighted the use of I in the production system, as this helped in uplift the level of performances. This paper tries to present a model that helps in uplifting the process within the production system. The effort that is put into the production process is great, In this research paper all the phases for conducting projects have been discussed, and this project process production is lengthy as this affects overall performance and improves productivity. In this research article, the hybrid artificial intelligence system has been discussed this hybrid intelligent system helps in uplifting the rate of performance and provide some essential findings.

In the article Hybrid Artificial Intelligence System for the Design of Highly Automated Production System, a hybrid model has been discussed; this hybrid model helps in uplifting the level of production unit performances [5]. In this hybrid model, all the analyses are done in an effective manner as this improves overall performances and enhances the performance rate. The article will be discussed in a descriptive way; the benefit of the hybrid artificial intelligence will be discussed. Along with discussing the benefits, proper relationships between the artificial intelligence system and the production system will be discussed as this process will uplift the level of performances in the production units. In this article hybrid, artificial intelligence automation process introduction has been discussed to have an effective knowledge about the initial phase of the research. The methodology used for conducting the research will be discussed in this project in this assignment.

Discussion and Analysis

There are two types of production occurring from any BIW production machine: the serial production and product development process. The efforts that are spent on the production process is time-consuming, installing the artificial intelligence in the production unit will help in completion of the project in a much easier way [5]. Irrespective of this, it has been found out that the production unit can help in resolving all the issues in many effective manners. The PS data has been used for providing effective performances as this helps in the PS designer is used to install and analyse all the data in a much effective manner as this will enhance the rate of performances. The virtual production system helps in uplifting the production unit process as it correlates the data that has been associated with the working process [5]. The degree of complexity in the product derivatives is low, whereas this also helps in reducing the rate of complexities associated with the project process. In the automotive industry, due to lack of use of artificial intelligence, the production gets delayed as this affects overall performances and creates issues in completion of production [1]. Irrespective of this it has been found out that the degree of complexity associated with the products is high, and for this reason, the production units is a time-consuming process.

Figure 1: Function of the Hybrid Automation model

(Source: [5])

The product system design (PSD) is highly dependent on the level of performances, and in most of the automotive industry, it has been found out that the production system is manual [5]. Data analysis takes a long time, and for this reason, the product automation process gets delayed, and a long time has been needed. The design knowledge is high, and the product variants are high, and for this reason, effective performances and analysis cannot be done in a proper manner. The PSD is a creative process, and proper installation of the products and properly skilled employees are needed for completion of this project. The design knowledge has been only known by the expert, and for this reason, effective performances cannot be improved [4]. Installation of this hybrid model can help in finding all the solutions that have been associated with the model, in this research paper it has been found out that the air is focused on installing new models, this installation of new models helps in uplifting the rate of performance and enhances brand image[6].. In the production unit, some of the steps are highly repetitive as this creates an issue in the effective time management process and enhances the analysis process, as the experts are fully aware of the production process, it has been found out that due to lack of time frame and lack of subjective behaviour some time the production process gets delayed. Affecting the performances and the production cost, installing a hybrid model can swiftly create the production process into shape.

Figure 2: PSD design model

(Source: [5])

The enhanced use of artificial intelligence in the automobile industry help in the automation process as this increases the level of efficiency [5]. The enhanced use of artificial intelligence plays an effective role, and for this reason, all the issues associated with the production unit is minimal. In the automotive industry, the use of artificial intelligence has increased; irrespective of this the enhanced use of artificial intelligence has helped in the completion of the product system development. On the other hand, it has been found out that the algorithm associated with the product system development can create an issue as this directly affects the working process[7]. The use of artificial intelligence is vital for enhancing the efficiency in the production unit. It has been found out that the methodology associated with the database often creates an issue in carrying out the production process in a much effective manner [11]. On the contrary, manual approaches have been improved over time, and the template-based approach has reached the limits as this affects the industrial practices process and the entire complex associated with the dynamic environment. The PSD model should be free of any issue as this will highly improve the automation process. Furthermore, it has been found out that the automatic analysis that has been done within the automation step perhaps affects overall performances and affects overall productivity.

Figure 3: Hybrid AI model in improving the production rate

(Source: [5])

The manual design approach in the PSD has improved over time, but in the PSD process, the rate of error should be free, and for this reason, the installation of the AI is necessary [5]. This installation of the AI not only creates issues in the working process but also affects the business model. It has been found out that the rate of performances gets affected due to lack of industrial efficiency. Algorithm and knowledge-based intelligence play an effective role in minimising all the issues in a much effective manner as this will create an issue for the organisation to provide some effective performances [10]. Developing the prototype plays an important role, and for this reason, it has been found out that the rate of performances often gets improved. Hence it can be stated that for improving the rate of performances all the prototypes associated with the project process get improved. Installation of prototypes will help find out all the issues that have been associated with the project, and for this reason, effective performances get improved [12]. In this research paper, all the researcher has been focused on highlighting the algorithm that has been associated with developing all the prototypes of hybrid artificial intelligence.

The paper has been donated to help the issue that has been faced by the automation industry in conduction of the project. In the artificial intelligence process, it has been found out that effective business can be conducted as this process can uplift the rate of performances and improve brand awareness [5]. This improvement in production can also be highlighted as improvements in the installation of the artificially can help in conducting take in much efficient way whereas or implementing new ideas, in reality, creates an issue as this will affect overall performances. In this research project, the main instance lies in the installation of hybrid artificial intellect within the production unit. In this research paper, the statistical method has used to understand the essential features that can be provided to the hybrid artificial system to enhance the performance rate and uplift the level of performance. For effective installation of the artificial intelligence configuration of the hybrid approach, it has been found out that as this configuration helps in uplifting the rate of performances in the production unit[13]. Software prototype has been used, and this software prototype helps in improving the production unit performance furthermore it will help in providing all the information associated with the implication process.

Conclusion

The purpose of the research paper is to highlight the installation of the hybrid AI model is effective for improving the production in the automobile industry. In this research report, PSD automation process had been highlighted along with this, the installation process of the AI in this PSD design has been discussed. Furthermore, for effective improvement and effective performance rate in production, this method is necessary. In this research paper, all the variables associated with the hybrid intelligence model have been discussed. This hybrid model not only helps in uplifting the performance rate but enhance organisation productivity by reducing the rate of error.

Reference List

[1] Acemoglu, D. and Restrepo, P., 2018. Artificial intelligence, automation and work (No. w24196). National Bureau of Economic Research.

[2] Chaurasia, V. and Pal, S., 2017. A novel approach for breast cancer detection using data mining techniques. International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol2.

[3] Feng, Z. and Zhu, Y., 2016. A survey on trajectory data mining: Techniques and applications. IEEE Access4, pp.2056-2067.

[4] Gunning, D., 2017. Explainable artificial intelligence (xai). Defense Advanced Research Projects Agency (DARPA), nd Web2.

[5] Hagemann, S., Sünnetcioglu, A. and Stark, R., 2019. Hybrid Artificial Intelligence System for the Design of Highly-Automated Production Systems. Procedia Manufacturing28, pp.160-166.

[6]Hamet, P. and Tremblay, J., 2017. Artificial intelligence in medicine. Metabolism69, pp.S36-S40.

[7] Hudson, V.M., 2019. Artificial intelligence and international politics. Routledge.

[8] Jackson, P.C., 2019. Introduction to artificial intelligence. Courier Dover Publications.

[9] Konar, A., 2018. Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain. CRC press.

[10] Müller, V.C. and Bostrom, N., 2016. Future progress in artificial intelligence: A survey of expert opinion. In Fundamental issues of artificial intelligence (pp. 555-572). Springer, Cham.

[11] Steels, L. and Brooks, R. eds., 2018. The artificial life route to artificial intelligence: Building embodied, situated agents. Routledge.

[12] Topol, E.J., 2019. High-performance medicine: the convergence of human and artificial intelligence. Nature medicine25(1), pp.44-56.

[13] Yannakakis, G.N. and Togelius, J., 2018. Artificial intelligence and games (Vol. 2). New York: Springer.

[14] Ye, Y., Li, T., Adjeroh, D. and Iyengar, S.S., 2017. A survey on malware detection using data mining techniques. ACM Computing Surveys (CSUR)50(3), pp.1-40.

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