Publishing in top journals is very important in the process of attaining excellence in the research career in addition to publishing many papers. The number of top journal publications and highly cited publications during the early stage of the career was the most important predictor of who will attain excellence in the later career. Publishing in high-impact data mining journals list will further enhance an author’s academic reputation.
However, while a high number of publications in top journals indicate that a scholar has been prolific and successful in generating high visibility output, such a number, which would earn a scholar a position in the lists of top contributors based on publication counts, gives us no information about whether this output has a significant impact.
In addition, academics display a preference for impact over publications, even when that is not associated with the requirements of the assessment system in terms of thoroughness of the underpinning research. The preference for impact over publications is heightened by tenure, nonacademic work experience, intrinsic career motivations, and research-intensive contexts, while it is weakened by academic influence, extrinsic career motives, and academic rank.
The paper publication is a daunting one. The researcher has to concentrate on the journal’s publication norms. If you are about to publish your first paper, then you would probably face so many hindrances. As we are having 20+ years of experience, our technical experts will help you at any cost. At this juncture, let us discuss the expectations of the reviewer in paper publication.
- Focus on real-time application scope
- The proposed methodology has to be novel with accurate results
- Survey analysis is essential with potential interpretation
- Clear and concise content with scientific knowledge scope
- Introduction with a superficial objective and understandable for readers
- In-depth comparative study
We hope that you are getting the points as of now deliberated. If anything seems to be difficult, please feel free to approach our technical experts. Now, our subject experts have given some fine courses of action for data mining.
Data mining is an interdisciplinary field with roots in several fields such as visualization, machine learning, databases, pattern recognition, and statics. Finally, some in the IT community state that data mining goes beyond merely quantitative analysis including the complex and qualitative relations in the structure of the database. Data mining is the process that finding useful patterns from a large amount of data. There are several data mining techniques, algorithms, and several technologies to enhance the process and find the appropriate results.
Let’s discuss the topical research subjects in data mining highlighted by our research experts and these are occupying the top ranks in data mining research,
Data Mining Research Subjects
- Information hiding
- Fraud detection
- Big sensor data management
- Frequent pattern mining
- Information retrieval (Query based)
- Data Integration & Management
- Multimedia data mining (Text mining)
We hope this will help you a heap to prepare for the research explorations. Until now, we are well educated in several commencements relating to data mining. The research scholars are troubling a lot in the process of researching and publishing the research, but we will handle this with ease through our technical experts.
Our research team has years of experience in this field of publication with the provision of proper style, and originality in the proposed methodology, and we select the reference papers from the benchmark and highly reputed journals. As well, we provide plagiarism-free research manuscript with exact research outcome and analysis for the research scholars that meet all the standards in the journal. Consequently, download the below-mentioned excel and get to know about data mining journals list.