A. Vadivel – författare
2 118 kr
Skickas inom 10-15 vardagar
863 kr
Kommande
942 kr
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The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation.
This book:
Covers various data analysis tools such as KNIME, RapidMiner, Rstudio, Grafana, and Redash
Discusses the theoretical concept of inference and machine learning algorithms for designing dynamic dashboards
Presents statistical modelling techniques with an emphasis on pattern mining, and pattern relationships
Explains the problem of efficient retrieval of similar time series in large databases to enrich the knowledge of the readers to effectively handle various real-time datasets
Illustrates dimensionality reduction techniques such as principal component analysis, linear discriminant analysis, singular value decomposition, and piecewise vector quantized approximation
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
942 kr
Läs direkt efter köp
The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation.
This book:
Covers various data analysis tools such as KNIME, RapidMiner, Rstudio, Grafana, and Redash
Discusses the theoretical concept of inference and machine learning algorithms for designing dynamic dashboards
Presents statistical modelling techniques with an emphasis on pattern mining, and pattern relationships
Explains the problem of efficient retrieval of similar time series in large databases to enrich the knowledge of the readers to effectively handle various real-time datasets
Illustrates dimensionality reduction techniques such as principal component analysis, linear discriminant analysis, singular value decomposition, and piecewise vector quantized approximation
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
1 855 kr
Skickas inom 5-8 vardagar
1 346 kr
Skickas inom 10-15 vardagar
1 214 kr
Läs direkt efter köp
This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.
956 kr
Skickas inom 10-15 vardagar