Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912644745> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2912644745 abstract "Data mining leading to discovery of predictive information from large databases is a powerful technology to obtain useful knowledge and apply for effective decision making. The huge data is generated with evolution of electronic and digital platforms in every field. The major challenge related to data management lies in healthcare sector due to increase in patients proportional to the population growth and change in lifestyle. The data analytics and big data are becoming trends to provide solution to all analytical problems that can be obtained by using machine learning techniques. Today, Cancer is evolving as one of the major attention seeking phenomenon in developed as well as in developing countries that may lead to death if not diagnosed at the early stage. The late diagnosis, and hence delayed treatment increase the risk for the survival. Thus, early detection to improve the cancer outcome is very critical. This study is intended towards early diagnosis of cancer using more efficient analytical techniques. Moreover, accuracy plays an important role in prediction to improve the quality of care, thereby increasing the survival rate. For this study, the datasets are extracted from UCI Machine Learning Repository prepared by University of Wisconsin Hospitals. For the diagnosis and classification process, K Nearest Neighbor (KNN) classifier is applied with different values of K variable, introducing the process called KNN Clustering. Later the performance of KNN is compared with K-Means clustering on the same datasets." @default.
- W2912644745 created "2019-02-21" @default.
- W2912644745 creator A5042699125 @default.
- W2912644745 creator A5072297118 @default.
- W2912644745 creator A5082295201 @default.
- W2912644745 date "2018-01-01" @default.
- W2912644745 modified "2023-09-25" @default.
- W2912644745 title "Early detection and diagnostic accuracy based comparative analysis of classification over clustering" @default.
- W2912644745 doi "https://doi.org/10.5958/2347-7202.2018.00008.7" @default.
- W2912644745 hasPublicationYear "2018" @default.
- W2912644745 type Work @default.
- W2912644745 sameAs 2912644745 @default.
- W2912644745 citedByCount "0" @default.
- W2912644745 crossrefType "journal-article" @default.
- W2912644745 hasAuthorship W2912644745A5042699125 @default.
- W2912644745 hasAuthorship W2912644745A5072297118 @default.
- W2912644745 hasAuthorship W2912644745A5082295201 @default.
- W2912644745 hasConcept C119857082 @default.
- W2912644745 hasConcept C124101348 @default.
- W2912644745 hasConcept C154945302 @default.
- W2912644745 hasConcept C2522767166 @default.
- W2912644745 hasConcept C2908647359 @default.
- W2912644745 hasConcept C41008148 @default.
- W2912644745 hasConcept C71924100 @default.
- W2912644745 hasConcept C73555534 @default.
- W2912644745 hasConcept C75684735 @default.
- W2912644745 hasConcept C79158427 @default.
- W2912644745 hasConcept C83209312 @default.
- W2912644745 hasConcept C95623464 @default.
- W2912644745 hasConcept C99454951 @default.
- W2912644745 hasConceptScore W2912644745C119857082 @default.
- W2912644745 hasConceptScore W2912644745C124101348 @default.
- W2912644745 hasConceptScore W2912644745C154945302 @default.
- W2912644745 hasConceptScore W2912644745C2522767166 @default.
- W2912644745 hasConceptScore W2912644745C2908647359 @default.
- W2912644745 hasConceptScore W2912644745C41008148 @default.
- W2912644745 hasConceptScore W2912644745C71924100 @default.
- W2912644745 hasConceptScore W2912644745C73555534 @default.
- W2912644745 hasConceptScore W2912644745C75684735 @default.
- W2912644745 hasConceptScore W2912644745C79158427 @default.
- W2912644745 hasConceptScore W2912644745C83209312 @default.
- W2912644745 hasConceptScore W2912644745C95623464 @default.
- W2912644745 hasConceptScore W2912644745C99454951 @default.
- W2912644745 hasLocation W29126447451 @default.
- W2912644745 hasOpenAccess W2912644745 @default.
- W2912644745 hasPrimaryLocation W29126447451 @default.
- W2912644745 hasRelatedWork W2186106806 @default.
- W2912644745 hasRelatedWork W2286417140 @default.
- W2912644745 hasRelatedWork W2308984926 @default.
- W2912644745 hasRelatedWork W2338740948 @default.
- W2912644745 hasRelatedWork W2531121995 @default.
- W2912644745 hasRelatedWork W2588418498 @default.
- W2912644745 hasRelatedWork W2783045248 @default.
- W2912644745 hasRelatedWork W2793921726 @default.
- W2912644745 hasRelatedWork W2887872040 @default.
- W2912644745 hasRelatedWork W2899091260 @default.
- W2912644745 hasRelatedWork W2910976128 @default.
- W2912644745 hasRelatedWork W2921774528 @default.
- W2912644745 hasRelatedWork W2922441119 @default.
- W2912644745 hasRelatedWork W2924662495 @default.
- W2912644745 hasRelatedWork W2942865718 @default.
- W2912644745 hasRelatedWork W2969651194 @default.
- W2912644745 hasRelatedWork W2993291313 @default.
- W2912644745 hasRelatedWork W3004678548 @default.
- W2912644745 hasRelatedWork W3022458966 @default.
- W2912644745 hasRelatedWork W3188298370 @default.
- W2912644745 isParatext "false" @default.
- W2912644745 isRetracted "false" @default.
- W2912644745 magId "2912644745" @default.
- W2912644745 workType "article" @default.