Výsledky vyhledávání - "Deepti Sisodia"

Akademický článek

Quad division prototype selection-based k-nearest neighbor classifier for click fraud detection from highly skewed user click dataset

Autor: Deepti Sisodia, Dilip Singh Sisodia

Publikováno v: Engineering Science and Technology, an International Journal, Vol 28, Iss , Pp 101011- (2022)

In online advertising, the user-clicks dataset based fraudulent publishers’ classification models exhibit poor performance due to high skewness in class distribution of the publishers. The nearest-neighbor based classification techniques are popula

Externí odkaz: https://doaj.org/article/8443cba22abd4774b2c6604c04b2d009

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Akademický článek

Supplementing hand washing with proper use of alcoholic hand rub in a special neonatal care unit in a large academic public health institute at Jabalpur, Madhya Pradesh, India

Autor: Vikram Datta, Mahtab Singh, Nigel Livesley, Manish Singh, Avyact Agrawal, Deepti Sisodia, Pardeep Kumar Kasar, Arvinder Kaur, Ravi Shankar Savanna

Publikováno v: BMJ Open Quality, Vol 10, Iss 4 (2021)

Objective The purpose was to increase use of alcoholic hand rub (AHR) in specialised newborn care unit (SNCU) to improve hand hygiene in order to reduce neonatal sepsis and mortality at Netaji Subhash Chandra Bose Medical College and Hospital, Jabalp

Externí odkaz: https://doaj.org/article/304e12ce7c6b4e0fa727d4736560c034

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Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection

Autor: Deepti Sisodia, Dilip Singh Sisodia

Publikováno v: New Generation Computing.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69cb276a1e51af65ab2114962f128d7a
https://doi.org/10.1007/s00354-023-00218-1

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Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising

Autor: Dr. Dilip Singh Sisodia, Deepti Sisodia

Publikováno v: Data Technologies and Applications. 56:602-625

PurposeThe problem of choosing the utmost useful features from hundreds of features from time-series user click data arises in online advertising toward fraudulent publisher's classification. Selecting feature subsets is a key issue in such classific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::886cd351905bf3ff6c46210066c87972
https://doi.org/10.1108/dta-09-2021-0233

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Behavior Problems in Children With Epilepsy (Age 6– 14 years) : A Prospective Observational Study

Autor: Rahul Solanki, Pawan Ghanghoriya, Deepti Sisodia, Monica Lazarus

Publikováno v: International Journal of Recent Surgical and Medical Sciences.

Background Epilepsy's psychological effects are variable, some may experience a few mental health issues while some may experience serious problems such as anxiety, depression, attention deficit hyperkinetic disorder (ADHD), and mood disorders. Hence

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::78413d02fb833e5922153712d930a855
https://doi.org/10.1055/s-0043-1761503

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Bone Cancer Identification and Separation Using K-Means and KNN Classifiers

Autor: S V Shashikala, H R Uma, A N Sunad Kumara, N L Taranath, Lokesh Singh, Deepti Sisodia

Publikováno v: 2023 2nd International Conference for Innovation in Technology (INOCON).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e0389e91977ac72fd1958132478e70e
https://doi.org/10.1109/inocon57975.2023.10101031

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Data Sampling Methods for Analyzing Publishers Conduct from Highly Imbalanced Dataset in Web Advertising

Autor: Deepti Sisodia, Dilip Singh Sisodia

Publikováno v: Information Systems and Management Science ISBN: 9783031131493

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48c5fbeeac331b18f2f2bcd160cca583
https://doi.org/10.1007/978-3-031-13150-9_34

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A hybrid data‐level sampling approach in learning from skewed user‐click data for click fraud detection in online advertising

Autor: Deepti Sisodia, Dilip Singh Sisodia

Publikováno v: Expert Systems. 40

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c942000abe256fc5463c92ec9228b4e7
https://doi.org/10.1111/exsy.13147

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Data Sampling Strategies for Click Fraud Detection Using Imbalanced User Click Data of Online Advertising: An Empirical Review

Autor: Deepti Sisodia, Dilip Singh Sisodia

Publikováno v: IETE Technical Review. 39:789-798

In the pay-per-click online advertisement model, fraudulent publishers’ presence is rare than that of genuine publishers. This high-class imbalance between fraudulent and genuine publishers poses a...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54cc66239776f5e327a6b69ba921ee41
https://doi.org/10.1080/02564602.2021.1915892

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Gradient boosting learning for fraudulent publisher detection in online advertising

Autor: Dilip Singh Sisodia, Deepti Sisodia

Publikováno v: Data Technologies and Applications. 55:216-232

PurposeAnalysis of the publisher's behavior plays a vital role in identifying fraudulent publishers in the pay-per-click model of online advertising. However, the vast amount of raw user click data with missing values pose a challenge in analyzing th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f15c8cddf449b1e9fcb43e43d3d210ea
https://doi.org/10.1108/dta-04-2020-0093

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