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Autor:
Choudur Lakshminarayan, Mingzhang Yin
Publikováno v:
Applied Stochastic Models in Business and Industry. 36:1014-1028
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a04a4aced3556a27a271410720c170f
https://doi.org/10.1002/asmb.2563
https://doi.org/10.1002/asmb.2563
Autor:
Awny Al-Omari, Choudur Lakshminarayan, Faraz Ahmad, Sri Raghavan, Khaled Bouaziz, Thiagarajan Ramakrishnan, Prama Agarwal
Publikováno v:
IEEE BigData
Big data characterized by variety can be divided into 3 principal categories: numeric structured data, semi-structured data, and unstructured multimedia data involving audio, video, and text. Decision making requires multiple analytical engines suita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ed269c0965591c5e6ea366caceb727
https://doi.org/10.1109/bigdata47090.2019.9006321
https://doi.org/10.1109/bigdata47090.2019.9006321
Autor:
Thiagarajan Ramakrishnan, Khaled Bouaziz, Prama Agarwal, Faraz Ahmad, Choudur Lakshminarayan, Awny Al-Omari, Sri Raghavan
Publikováno v:
IEEE BigData
Ease-of-use analytics at scale is the holy grail of industrial strength machine learning. In order to reap benefits from the mother-lode of business related data; tools, technologies, and analytical functions should operate in perpetual symphony to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c828841f52747429f462b237fbf1a739
https://doi.org/10.1109/bigdata47090.2019.9005445
https://doi.org/10.1109/bigdata47090.2019.9005445
Autor:
Kyle Grove, Choudur Lakshminarayan, Srinivasan Raghavan, Thiagarajan Ramakrishnan, Awny Al-Omari, Khaled Bouaziz
Publikováno v:
IEEE BigData
Ease-of-use analytics at scale is the holy grail of industrial strength machine learning. While there have been advances in APIs, algorithms, and user interfaces, building an end to end work flow involving data ingestion, data preparation, model trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21fc150355d1878d6b3f34dc2e731f34
https://doi.org/10.1109/bigdata.2018.8622465
https://doi.org/10.1109/bigdata.2018.8622465
Publikováno v:
WWW (Companion Volume)
As the website is a primary customer touch-point, millions are spent to gather web data about customer visits. Sadly, the trove of data and corresponding analytics have not lived up to the promise. Current marketing practice relies on ambiguous summa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77b396285d24a89c7df35aa55625c145
https://doi.org/10.1145/2872518.2891070
https://doi.org/10.1145/2872518.2891070
Publikováno v:
IEEE Transactions on Biomedical Engineering. 59:1641-1648
Heart function measured by electrocardiograms (ECG) is crucial for patient care. ECG generated waveforms are used to find patterns of irregularities in cardiac cycles in patients. In many cases, irregularities evolve over an extended period of time t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b657a119d95985e84b674c8a24f9e696
https://doi.org/10.1109/tbme.2012.2191407
https://doi.org/10.1109/tbme.2012.2191407
Publikováno v:
Technometrics. 43:66-72
Under the most general conditions of an anisotropic Markov random field, we model the two-dimensional spatial distribution of microchips on a silicon wafer. The proposed model improves on its predecessors as it stipulates the spatial correlation of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d104dd147c149940923b8c04e019e906
https://doi.org/10.1198/00401700152404336
https://doi.org/10.1198/00401700152404336
Autor:
Chien Pai Han, Choudur Lakshminarayan
Publikováno v:
Journal of Statistical Computation and Simulation. 58:155-170
This paper considers the problem of estimating the mean μx of one of the components of the bivariate normal distribution with equal variances or unequal variances. When the mean of the other component μy is equal to μx it is advantageous to pool t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c2b4498c1efe355d1113d1dc224951e
https://doi.org/10.1080/00949659708811828
https://doi.org/10.1080/00949659708811828
Autor:
Choudur Lakshminarayan, Michael Baron
Publikováno v:
Big Data Analytics ISBN: 9783319036885
BDA
BDA
It is important in semiconductor manufacturing to identify probable root causes, given a signature. The signature is a vector of electrical test parameters measured on a wafer. Linear discriminant analysis and artificial neural networks are used to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ae398867531e6250b063408141bcf7
https://doi.org/10.1007/978-3-319-03689-2_13
https://doi.org/10.1007/978-3-319-03689-2_13
