Data Mining and Machine Learning
A comparative case study on Data Mining and Process Mining applied to Supply Chain Management
... Modeler and Celonis based on the same database and same basic business goals, both tools are very different and serve at cross ...Celonis, and there are many futures of Celonis that is not ...
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An automated behaviour based malware analysis method based on free open source software
... Sanjay et al. [4] proposes a method using the WEKA data mining tool [5] to detect malware based on machine learning. Zahra et al. [6] pro- poses a malware detection system based on API calls, ...
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The Elements of Statistical Learning Data Mining, Inference, and Prediction
... computation and information tech- nology. With it have come vast amounts of data in a variety of fields such as medicine, biolo- gy, finance, and ...these data has led to the devel- opment of ...
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Pattern discovery and model construction: an evolutionary learning and data mining approach
... power and success. As an ancestor of data mining, machine learning has concerned itself with discovery of new knowledge on its ...construction and event predictions, the areas ...
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TítuloNovel methods in distributed machine learning for large datasets
... parallel mining algorithms is sensitivity to data ...dynamic and interac- tive nature of ...1999), data skew is defined in terms of its effect on parallel mining of ...the data ...
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Analítica de datos aplicada a la cobranza de cartera
... (Big Data), la computación cognitiva y la realidad virtual– están redefiniendo la sociedad y dinamizando la industria de tal manera que los productos y servicios están cada vez más cerca de las verdaderas ...
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Machine learning and the digital era from a Process Systems Engineering perspective
... convection and fouling behaviors at medium/low flows was ...“big- data stuff” with subsets of 22 samples for training plus 20 for validation, depicted in the figures ...of data to ...5a, and ...
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TítuloClassification of mild cognitive impairment and Alzheimer’s Disease with machine learning techniques using 1H Magnetic Resonance Spectroscopy data
... H-MRS data and machine- learning techniques to the classification of ...anatomical data is difficult because they report a range of different accuracies for classification and ...
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Using Machine Learning to Optimize Parallelism in Big Data Applications
... connection and two hard disks of 300 ...3.2.68, and the soft- ware versions are Hadoop 2.6.0 and Spark ...node and the other three as ...YARN and by default the resource calculator is ...
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Adaptive learning paths for improving lifelong learning experiences
... degrees and also called the Ateneu ...lifelong learning students who want to improve their knowledge and professional ...campus and all the resources and services involved in the ...
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TítuloImproving detection of apneic events by learning from examples and treatment of missing data
... Classification trees are used to predict membership of cases or objects in the classes of a categorical dependent variable from their measurements on one or more predictor variables. In these tree structures, leaves ...
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Combining data mining and ontology engineering to enrich ontologies and linked data
... preparation and result interpretation tasks in knowledge discovery, as well as for costly expert consultation and consensus building activities required for on- tology building can be reduced through ...
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Visualization and machine learning techniques to support web traffic analysis
... paths, and multi-site traffic connection; without the intrusion of requiring access to each individual client computer or installing TCP packet ...[1], and build the visualization tool on top of ...
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TítuloStatistical learning in complex and temporal data: distances, two sample testing, clustering, classification and Big Data
... the data onto a lower dimensional space where traditional statistics can be ...Ghosh and Biswas [47] and Wei et ...vector machine (SVM) or distance-weighted discrimination (DWD) ...Ghosh ...
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Web mining: implementando técnicas de data mining en un servidor web
... A través de la generación de reglas y de la precarga de las páginas con posibilidad de ser re-accedidas, los pedidos de objetos que ya fueron almacenados en la caché se resuelve de una forma substancialmente más rápida ...
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Revista Ingeniería Investigación y Tecnología | Facultad de Ingeniería UNAM
... – Map initialization. Initially unordered vec- tors will be ordered in the long run, in usual applications in a few hundred initial steps. This does not mean that random initialization is the best or fastest policy. By ...
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Automated Analysis of Source Code Patches using Machine Learning Algorithms
... [34] and revising previous work [35, 36, 33], Jason Wright - best known for his work in the cryptographic framework of the OpenBSD operating system [13] – emphasizes the importance of patch ...bugs and ...
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Identificación de personas por su forma de andar usando sensores inerciales
... walks and how this can be used to unam- biguously identify each individual is what will be studied in this final degree ...of Machine Learning will be chosen and worked on, as well as ...
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Educational data mining and learning analytics: differences, similarities, and time evolution
... EDM and LA methodologies is the lack of knowledge (Wolf, Jones, Hall, & Wise, 2014), both theoretical and practical, among a significant proportion of instructors and managers with regard to ...
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Cascaded machine learning for increasing conversion in hospitality recommender system
... the machine learning model using ...single machine learning model and optimizing several features at the same ...performance and time ...hotels and users impact negatively ...
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