An Assessment of Data Mining Based CRM Techniques for Enhancing Profitability

Rahman, Abdur; Khan, M. N. A.

doi:10.5815/ijeme.2017.02.04

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…(Abdur Rahman, M.N.A. Khan, 2017) The CRM data mining framework builds strong customer relationships and manages relationships between companies and customers in today's modern business world. Data mining has gained popularity in various CRM applications in recent years, and classification models are an important data mining technique to use in practice.…”

Section: Literature Reviewmentioning

confidence: 99%

Analytical CRM for Google Edge - Data Mining Framework With Reference to Pharmaceuticals Industry in India

Devda¹,

Shah²,

Vasavada³

2023

IJMPR

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As well as increasing the utilization of analytical CRM software over time, as you collect more and more valuable data, you'll also gain more benefits over time by using analytical CRM. It’s vital role to the business strategy before you buy and introduce a program and make sure that the sort of CRM software solutions that you simply choose is that the best choice to maximize your sales volume and boost your business. Many businesses have recognized the importance of implementing new technological trends to assist them make decisions and satisfy their customers. Research Objective Research objectives explain what your study's goals are and why you are conducting it. They serve to focus your research by providing an overview of your project's methodology and goals. Your research paper's introduction should include your objectives after the problem statement. They ought to: Identify the project's depth and scope. Add to the planning of your research Explain how your project will advance our knowledge. Design enables researchers to fine-tune research methods appropriate for the subject matter. Research Methodology The term "research methodology" simply refers to the actual "how" of any given piece of research. More specifically, it pertains to how a researcher systematically designs a study to guarantee valid and reliable results that address the research aims and objectives Due to the nature of CRM and data mining research, which makes it challenging to confine to particular disciplines, the pertinent materials are dispersed throughout numerous journals. For data mining research in CRM, business intelligence and knowledge discovery are the most popular academic fields. Consequently, to compile a thorough bibliography of the academic literature on CRM and Data Mining, the following online journal databases were searched. Data Analysis In quantitative research, collect data and use statistical analyses in SPSS. Using Regression method, find out whether data demonstrate support for research predictions. Inconsistencies and errors are examples of dirty data. These data can originate from any stage of the research process, such as poor research design, insufficient measurement materials, or incorrect data entry. Social Implication CRM analytics offers you insights approximately your clients and the way properly your income and customer support groups are attaining them. CRM analytics enables you display your customer support efforts, validate your client data, examine your clients' conduct and generate higher leads. Originality/Value Customer techniques entails analyzing the prevailing and capability consumer primarily based totally and become aware of which sorts of segment are maximum suitable. This look at believes whether or not a macro, micro, or one-to-tone segmentation method is suitable is a selection for a commercial enterprise to make.

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Section: Literature Reviewmentioning

confidence: 99%

Analytical CRM for Google Edge - Data Mining Framework With Reference to Pharmaceuticals Industry in India

Devda¹,

Shah²,

Vasavada³

2023

IJMPR

View full text Add to dashboard Cite

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“…Rahman and Khan portrayed that the user relationship management system is employed to administer the associations among the firms with the prevailing and viewpoint users. The information extraction is employed in firms for performing choices and predicting the potential users [1]. Sachan et al entailed that the information extraction schemes are employed widely for removing the hidden, formerly new and possibly needful data from the immense information set by making use of arithmetic and intellectual schemes [2].…”

Section: Literature Survey Information Extractionmentioning

confidence: 99%

Certain Inverstigations on Privacy-Preserving Data Mining Using Three-Dimensional Spin Revolution (3DSR) Scheme

Kumar¹,

Karthik²,

Cristin³

2021

J. Inst. Eng. India Ser. B

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The information disquiets are attractive in information extraction for safeguarding confidentiality. The key problem in information disquiets is to portray the equalization of two differing features as confidentiality safeguarding and information usage. The intention is to design a symmetrical information disquiets scheme by employing information disquiets and three-dimensional spins. Here the elements are segregated into clusters of three where each and every element is revolved about three pairs of alignments. The angle of revolution is chosen based on the difference in terms of confidentiality parameters which makes the actual reformation of information quiet intricate. Several information extraction schemes such as categorization and grouping are regular to symmetrical disquiets, and the information usage is conserved in the designed scheme. The results of the designed schemes offer improved confidentiality safeguarded outcomes and information usage against the conventional schemes.

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“…A survey of latest optimization methods for big data applications is presented in [29]. Revision of data mining algorithms used for CRM is presented in review paper [30].…”

Section: B Related Work Reviewmentioning

confidence: 99%

Artificial Intelligent Machine Learning and Big Data Mining of Desert Geothermal Heat Pump: Analysis, Design and Control

Shibli¹,

Mathew²

2019

IJISA

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Nowadays sustainable underground geothermal energy resources have received special attention thanks for being characterized as clean, zerocarbon footprint, reliable, and free source of renewable energy that can run all year long and around the clock. Barren desert lands, which make up 33% and contribute to almost 30 Million km² of global land surface area, is increasingly seen as supply of green energy but not yet efficiently and globally utilized although it can save up to 70% compared to traditional HVAC systems bills. This paper presents a novel artificial intelligent machine learning and big data algorithm to analyze and control geothermal heat pump system (GHP). In particular, the main objective of this research is to model, design, analyze, control and optimize the performance of desert underground GTH system based on thermodynamics laws and AI machine learning. As a case study, the analysis and design of desert GHP is performed based on the annual weather data collected for Al Ain city in UAE. By selecting a horizontal layout, the design analysis results show that GHP unit needs a 66 m total trench length with a cooling capacity estimated of 12.4 kW, heat pump COP of 2.8 and 1.6 for the system COP with 30.3 L/min water flow rate. Similar results for the heating system are obtained as well. Furthermore, financial calculations show the GHP system is very economic and competitive comparing with the traditional cooling/heating systems. It

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An Assessment of Data Mining Based CRM Techniques for Enhancing Profitability

Cited by 7 publications

References 11 publications

Analytical CRM for Google Edge - Data Mining Framework With Reference to Pharmaceuticals Industry in India

Analytical CRM for Google Edge - Data Mining Framework With Reference to Pharmaceuticals Industry in India

Certain Inverstigations on Privacy-Preserving Data Mining Using Three-Dimensional Spin Revolution (3DSR) Scheme

Artificial Intelligent Machine Learning and Big Data Mining of Desert Geothermal Heat Pump: Analysis, Design and Control

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