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Foundations of Data Mining and Knowledge Discovery下载
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2019-10-28 03:00:21
Foundations of Data Mining and Knowledge Discovery, 英文的ppt
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Foundations of Data Mining and Knowledge Discovery下载
Foundations of Data Mining and Knowledge Discovery, 英文的ppt 相关下载链接://download.csdn.net/download/jlmouse/2054612?utm_source=bbsseo
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Foundations
of
Data
Mining
and
Knowledge
Discovery
Foundations
of
Data
Mining
and
Knowledge
Discovery
, 英文的ppt
Geographic
Data
Mining
and
Knowledge
Discovery
This series aims to capture new developments and applications in
data
mining
and
knowledge
discovery
, while summarizing the computational tools and techniques useful in
data
analysis. This series encourages the integration of mathematical, statistical, and computational methods and techniques through the publication of a broad range of textbooks, reference works, and hand- books. The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of
data
mining
and
knowledge
discovery
methods and applications, modeling, algorithms, theory and
foundations
,
data
and
knowledge
visualization,
data
mining
systems and tools, and privacy and security issues.
Handbook of Educational
Data
Mining
This series aims to capture new developments and applications in
data
mining
and
knowledge
discovery
, while summarizing the computational tools and techniques useful in
data
analysis. This series encourages the integration of mathematical, statistical, and computational methods and techniques through the publication of a broad range of textbooks, reference works, and handbooks. The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of
data
mining
and
knowledge
discovery
methods and applications, modeling, algorithms, theory and
foundations
,
data
and
knowledge
visualization,
data
mining
systems and tools, and privacy and security issues.
Practical Graph
Mining
with R(CRC,2013)
Discover Novel and Insightful
Knowledge
from
Data
Represented as a Graph Practical Graph
Mining
with R presents a “do-it-yourself” approach to extracting interesting patterns from graph
data
. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the
discovery
of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from another, and the use of those patterns to predict the category of new graphs. Hands-On Application of Graph
Data
Mining
Each chapter in the book focuses on a graph
mining
task, such as link analysis, cluster analysis, and classification. Through applications using real
data
sets, the book demonstrates how computational techniques can help solve real-world problems. The applications covered include network intrusion detection, tumor cell diagnostics, face recognition, predictive toxicology,
mining
metabolic and protein-protein interaction networks, and community detection in social networks. Develops Intuition through Easy-to-Follow Examples and Rigorous Mathematical
Foundations
Every algorithm and example is accompanied with R code. This allows readers to see how the algorithmic techniques correspond to the process of graph
data
analysis and to use the graph
mining
techniques in practice. The text also gives a rigorous, formal explanation of the underlying mathematics of each technique. Makes Graph
Mining
Accessible to Various Levels of Expertise Assuming no prior
knowledge
of mathematics or
data
mining
, this self-contained book is accessible to students, researchers, and practitioners of graph
data
mining
. It is suitable as a primary textbook for graph
mining
or as a supplement to a standard
data
mining
course. It can also be used as a reference for researchers in computer, information, and computational science as well as a handy guide for
data
analytics practitioners.
PAKDD 2010 Calls for Papers (2010年亚太KDD会议征稿)
About PAKDDThe 14th Pacific-Asia Conference on
Knowledge
Discovery
and
Data
Mining
(PAKDD 2010) is a leading international conference in the areas of
data
mining
and
knowledge
discovery
.
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