Guan rong (15 Ergebnisse)

Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Paul Modjeski; Guan Aruna; Li Xiao Yue; Liu Xin Jia; Wu Xiang Rong (illustrator).

Hardcover. Zustand: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Paul Modjeski; Guan Aruna; Li Xiao Yue; Liu Xin Jia; Wu Xiang Rong (illustrator).…

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Paul Modjeski; Guan Aruna; Li Xiao Yue; Liu Xin Jia; Wu Xiang Rong (illustrator).

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Karton Karton. Zustand: Sehr gut. 776 Seiten Zust: Gutes Exemplar. Mit original Schutzumschlag. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 1170.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. In English.

Zustand: New. &Uumlber den AutorEdwin Diday is Emeritus Professor at Paris-Dauphine University-PSL. He helped to introduce the symbolic data analysis paradigm and the dynamic clustering method (opening the path to local models), as well as pyramid.

Hardcover. Zustand: Brand New. 234 pages. 9.50x6.25x0.75 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 258 | Sprache: Englisch | Produktart: Bücher | Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.…

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 258 | Sprache: Englisch | Produktart: Bücher | Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.…

Zustand: New. 2020. 1st Edition. Hardback. . . . . . Books ship from the US and Ireland.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 216 | Sprache: Französisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Taschenbuch. Zustand: Neu. Neuware - Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis This special issue is a following to the workshop entitled Theory and Applications of High dimensional Complex and Symbolic Data Analysis in Economics and Management Science which took place on October, 27 to October, 30 2011, at the School of Economics and Management, Beihang University, Beijing, China. 37 participants from 9 différent countries (Belgium, Brasil, China, France, Italy, Japan, Portugal, élèvenia, USA) attended this workshop. 24 communications have been présented. This issue corresponds to an extended version of the best contributions as well as original submissions in the same field; all have been submitted to a long and severe refereeing process. The major part of the 12 papers of this special issue are about symbolic data analysis as well in an exploratory context (PCA of interval data), as in a predictive one (regression with histogram data). The other contributions give an overview of applications in some very active fields of Data Mining: social networks, recommendation systems, grouped data.…