Titlebook: Big Data Preprocessing; Enabling Smart Data Julián Luengo,Diego García-Gil,Francisco Herrera Book 2020 Springer Nature Switzerland AG 2020

antecedence

Smart Data,we give an insight of the state of Smart Data. Next, we provide a discussion on how to move from Big to Smart Data. We finish with an introduction to Smart Data and its relation with the Internet of Things.

小說

Dimensionality Reduction for Big Data, as a case study, we study in depth the design and behavior of one of the most popular selection frameworks in this field. Finally, we study all contributions related to dimensionality reduction in Big Data streams.

enflame

Big Data Software,tion of Apache Spark MLlib and all of its components. We continue with a description of a Big Data library focused on data preprocessing for Apache Spark, named BigDaPSpark. Next, we provide an extensive analysis of FlinkML, and its included algorithms and utilities. Lastly, we finish with the descr

潔凈

. Specifically, it considers the relation with Deep Learning (as of a technique that also relies in large volumes of data), the difficulty of finding the appropriate selection and concatenation of preprocessing978-3-030-39107-2978-3-030-39105-8

使殘廢

救護(hù)車

grudging

Comparative Analysis of Political Value, as a case study, we study in depth the design and behavior of one of the most popular selection frameworks in this field. Finally, we study all contributions related to dimensionality reduction in Big Data streams.

Laconic

GRIN

指派