コンテンツへ移動
Data mining applications using artificial adaptive systems 資料のプレビュー
閉じる資料のプレビュー
確認中…

Data mining applications using artificial adaptive systems

著者: William J Tastle
出版: New York, NY : Springer, ©2013.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
This volume directly addresses the complexities involved in data mining and the development of new algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and analysis, while including analytical projection and prediction. The results derived from the analysis are then further manipulated such that a visual representation is derived with an accompanying  続きを読む
評価:

(まだ評価がありません) 0 件のレビュー - 是非あなたから!

件名:
関連情報:

 

オンラインで入手

この資料へのリンク

オフラインで入手

&AllPage.SpinnerRetrieving; この資料の所蔵館を検索中…

詳細

ジャンル/形式: Electronic books
その他のフォーマット: Print version:
(CaONFJC)cou11200329
資料の種類: Document, インターネット資料
ドキュメントの種類: インターネットリソース, コンピューターファイル
すべての著者/寄与者: William J Tastle
ISBN: 9781461442233 1461442230 1461442222 9781461442226 9781283623896 1283623897
OCLC No.: 808818336
物理形態: 1 online resource.
コンテンツ: Assessing Post-Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology / Massimo Buscema, Francis Newman, Giulia Massini, Enzo Grossi and William J. Tastle, et al. --
J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization / Massimo Buscema, Roberto Passariello, Enzo Grossi, Giulia Massini and Francesco Fraioli, et al. --
Population Algorithm: A New Method of Multi-Dimensional Scaling / Giulia Massini, Stefano Terzi and Massimo Buscema --
Semantics of Point Spaces Through the Topological Weighted Centroid and Other Mathematical Quantities: Theory and Applications / Massimo Buscema, Marco Breda, Enzo Grossi, Luigi Catzola and Pier Luigi Sacco --
Meta Net: A New Meta-Classifier Family / Massimo Buscema, William J. Tastle and Stefano Terzi --
Optimal Informational Sorting: The ACS-ULA Approach / Massimo Buscema and Pier Luigi Sacco --
GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning / Massimo Buscema and Pier Luigi Sacco --
Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation / Massimo Buscema, Pier Luigi Sacco, Enzo Grossi and Weldon A. Lodwick.
責任者: William J. Tastle, editor.
その他の情報:

概要:

Addresses the complexities involved in data mining and the development of algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and  続きを読む

レビュー

ユーザーレビュー
GoodReadsのレビューを取得中…
DOGObooksのレビューを取得中…

タグ

まずはあなたから!
リクエストの確認

あなたは既にこの資料をリクエストしている可能性があります。このリクエストを続行してよろしければ、OK を選択してください。

リンクデータ


<http://www.worldcat.org/oclc/808818336>
library:oclcnum"808818336"
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:MediaObject
rdf:typeschema:Book
rdf:valueUnknown value: dct
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:bookFormatschema:EBook
schema:contributor
schema:copyrightYear"2013"
schema:datePublished"2013"
schema:description"This volume directly addresses the complexities involved in data mining and the development of new algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and analysis, while including analytical projection and prediction. The results derived from the analysis are then further manipulated such that a visual representation is derived with an accompanying analysis. The book brings very current methods of analysis to the forefront of the discipline, provides researchers and practitioners the mathematical underpinning of the algorithms, and the non-specialist with a visual representation such that a valid understanding of the meaning of the adaptive system can be attained with careful attention to the visual representation. The book presents, as a collection of documents, sophisticated and meaningful methods that can be immediately understood and applied to various other disciplines of research. The content is composed of chapters addressing: An application of adaptive systems methodology in the field of post-radiation treatment involving brain volume differences in children;A new adaptive system for computer-aided diagnosis of the characterization of lung nodules;A new method of multi-dimensional scaling with minimal loss of information;A description of the semantics of point spaces with an application on the analysis of terrorist attacks in Afghanistan;The description of a new family of meta-classifiers;A new method of optimal informational sorting;A general method for the unsupervised adaptive classification for learning; and the presentation of two new theories, one in target diffusion and the other in twisting theory."
schema:exampleOfWork<http://worldcat.org/entity/work/id/1171774142>
schema:genre"Electronic books"
schema:inLanguage"en"
schema:name"Data mining applications using artificial adaptive systems"
schema:publication
schema:publisher
schema:url<http://dx.doi.org/10.1007/978-1-4614-4223-3>
schema:url<http://lib.myilibrary.com?id=393634>
schema:url<http://site.ebrary.com/id/10594971>
schema:workExample
schema:workExample
schema:workExample
wdrs:describedby

Content-negotiable representations

ウインドウを閉じる

WorldCatにログインしてください 

アカウントをお持ちではないですか?簡単に 無料アカウントを作成することができます。.