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of 22
pro vyhledávání: '"Anita Bai"'
Publikováno v:
IEEE Access, Vol 6, Pp 14389-14409 (2018)
High-utility itemset mining (HilIM) is an emerging area of data mining and is widely used. HilIM differs from the frequent itemset mining (FIM), as the latter considers only the frequency factor, whereas the former has been designed to address both q
Externí odkaz:
https://doaj.org/article/6726326713b94d649526a8b3f9742969
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2017 (2017)
Climate change has become a challenging and emerging research problem in many research related areas. One of the key parameters in analyzing climate change is to analyze temperature variations in different regions. The temperature variation in a regi
Externí odkaz:
https://doaj.org/article/93f696fc3c744f2c8d65977308c33b45
Autor:
Swati Hira, Anita Bai
Publikováno v:
Wireless Personal Communications. 123:1483-1505
Microarray-based gene expression profiling is an emerging method to predict, classify, diagnose and to treat cancer efficiently. The characteristics of this cancer disease may change frequently which creates large volume of data. In this paper we pro
Autor:
Swati Hira, Anita Bai
Publikováno v:
Soft Computing. 25:9241-9254
In recent times, the question of employability has become a critical concern not only for degree holders but for educational organizations. Hence, employability prediction models play an important role in analyzing the student’s capability to get e
Publikováno v:
Applied Intelligence
Novel coronavirus (COVID-19) is started from Wuhan (City in China), and is rapidly spreading among people living in other countries. Today, around 215 countries are affected by COVID-19 disease. WHO announced approximately number of cases 11,274,600
Autor:
Vishali Sivalenka, Anita Bai
Publikováno v:
Materials Today: Proceedings.
Breast cancer is the subsequent leading and high mortality rated disease among women worldwide in both developed and undeveloped countries. Breast cancer is categorized as benign and malignant with the symptoms of changes in size, skin textures of br
Publikováno v:
IEEE Access, Vol 6, Pp 14389-14409 (2018)
High-utility itemset mining (HilIM) is an emerging area of data mining and is widely used. HilIM differs from the frequent itemset mining (FIM), as the latter considers only the frequency factor, whereas the former has been designed to address both q
Publikováno v:
Sādhanā. 44
We present a maximal frequent itemset (MFI) mining algorithm based on selective partitioning called SelPMiner. It makes use of a novel data format named Itemset-count tree—a compact and optimized representation in the form of partition that reduces
Autor:
Rajashekhar Shastry, Anita Bai
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1116:012188
In the field of signal processing, a considerable amount of work has been done in the analysis and implementation of various techniques related to speech signal processing. When it comes to the Music signal processing, the techniques that are origina
Autor:
Swati Hira, Anita Bai
Publikováno v:
International Journal of Data Analysis Techniques and Strategies. 13:244
Microarray cancer datasets generally contain many features with a small number of samples, so initially we need to reduce redundant features to allow faster convergence. To address this issue, we p...