managing and sharing data training resources
Tài liệu Managing and tabulating data in Excel docx
Ngày tải lên :
09/12/2013, 15:15
... small amount of data, a
visual scan after data entry may suffice as a data validation technique.
However, when the amount of data is large and/ or you want to ensure
that invalid data is not entered ... tutorials, and
numerous timesaving and annoyance-removing macros and utilities.
He plans to create a similar tool for Microsoft Excel, and, depending
on resource constraints and demand, for ... Recovery And Safe Mode 30
CHAPTER 2 DATA ENTRY FORM 33
2.1
An Easier Way To Type In Data Plus A Multi-Series “Find” Utility (Data /Form)
33
2.2
Form Based Data Entry 33
2.2.a New data...
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Tài liệu Báo cáo khoa học: "Chinese Word Segmentation without Using Lexicon and Hand-crafted Training Data" pdf
Ngày tải lên :
20/02/2014, 18:20
... statistical and
rule-based, exploited two kinds of important
resources, i.e., lexicon and hand-crafted linguistic
resources( manually segmented and tagged corpus,
knowledge for unknown words, and ... Segmentation
without Using Lexicon and Hand-crafted Training Data
Sun Maosong, Shen Dayang*, Benjamin K Tsou**
State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, ... texts without
making use of any lexicon and hand-crafted
linguistic resource. The statistical data required by
the algorithm, that is, mutual information and the
difference of t-score between...
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mcsamcse self-paced training kit (exam 70-290) managing and maintaining a microsoft® windows server¿ 2003 environment
Ngày tải lên :
03/06/2014, 02:09
... Evaluation Edition provided with this training is not the full retail product
and is provided only for the purposes of training and evaluation. Microsoft and
Microsoft Technical Support do not ... clients.
■ Terminal Server Provides applications and server resources, such as printers
and storage, to multiple users as if those applications and resources were installed
on their own computers. ... optional
hands-on exercises only.)
Caution The 180-day Evaluation Edition provided with this training is not the full retail prod-
uct and is provided only for the purposes of training and evaluation....
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Managing and Mining Graph Data part 62 pdf
Ngày tải lên :
03/07/2014, 22:21
... biomolecular target’s chemical data analy-
sis. In recent years, the trend has been to integrate chemical data with protein
and genetic data (bioinformatics data) and analyze the problem over multiple
proteins ... Graph Data Mining 601
dustry has generated a wealth of protein-ligand activity data for large com-
pound libraries against many biomolecular targets. The data has been system-
atically collected and ... Classification, 40
XML Clustering, 35, 291
XML Indexing, 4, 17
602 MANAGING AND MINING GRAPH DATA
sent interactions between drugs and targets, and then used kernel regression to
the relationship among...
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Managing and Mining Graph Data part 1 pptx
Ngày tải lên :
03/07/2014, 22:21
... 1
2. Graph Management and Mining Applications 3
3. Summary 8
References 9
2
Graph Data Management and Mining: A Survey of Algorithms and Applications
13
Charu C. Aggarwal and Haixun Wang
1. Introduction ... Conclusions and Future Research 55
References 55
3
Graph Mining: Laws and Generators
69
Deepayan Chakrabarti, Christos Faloutsos and Mary McGlohon
1. Introduction 70
2. Graph Patterns 71
x MANAGING AND ... Beijing
viii MANAGING AND MINING GRAPH DATA
6. Vector Space Embeddings of Graphs via Graph Matching 235
7. Conclusions 239
References 240
8
A Survey of Algorithms for Keyword Search on Graph Data
249
Haixun...
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Managing and Mining Graph Data part 2 docx
Ngày tải lên :
03/07/2014, 22:21
... sizes of the second and third-largest
connected components (CC2 and CC3) stabilize. We fo-
cus on these next-largest connected components in (c).
84
xx MANAGING AND MINING GRAPH DATA
17.1 An unreduced ... Eqs.
(2.5) and (2.6) are 0.7810 and 0.5217, respectively.
492
16.3 A toy example (reproduced from 61) 496
16.4 Equivalence for Social Position 500
xviii MANAGING AND MINING GRAPH DATA
7.3 Graph ... superlinearly-more money it
donates, and similarly, the more donations a candidate
gets, the more average amount-per-donation is received.
Inset plots on (c) and (d) show 𝑖𝑤 and 𝑜𝑤 versus time.
Note they...
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Managing and Mining Graph Data part 3 potx
Ngày tải lên :
03/07/2014, 22:21
... LLC 2010
C.C. Aggarwal and H. Wang (eds.), Managing and Mining Graph Data,
Advances in Database Systems 40, DOI 10.1007/978-1-4419-6045-0_1,
6 MANAGING AND MINING GRAPH DATA
In the second case, ... the web and social networks are defined on massive graphs
4 MANAGING AND MINING GRAPH DATA
Natural Properties of Real Graphs and Generators. In order to under-
stand the various management and mining ... in the case of structured data than in the case of multi-dimensional
data. The problem of managing graph data is related to the widely stud-
ied field of managing XML data. Where possible, we will...
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Managing and Mining Graph Data part 4 ppsx
Ngày tải lên :
03/07/2014, 22:21
... graph data management and min-
ing algorithms are required. This includes web data, social and computer
networking, biological and chemical data, and software bug localization.
16 MANAGING AND ... algorithms and applications.
2.1 Indexing and Query Processing Techniques
Existing database models and query languages, including the relational model
and SQL, lack native support for advanced data ... localization
and computer networking. In addition, many new kinds of data such as semi-
© Springer Science+Business Media, LLC 2010
C.C. Aggarwal and H. Wang (eds.), Managing and Mining Graph Data,
13
Advances...
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Managing and Mining Graph Data part 5 pptx
Ngày tải lên :
03/07/2014, 22:21
... both the database and the IR communities.
Graph is a general structure and it can be used to model a variety of complex
data, including relational data and XML data. Because the underlying data
assumes ... is to build a
24 MANAGING AND MINING GRAPH DATA
[94], random walk kernels [81] and diffusion kernels [119]. In random walk
kernels [81], we attempt to determine the number of random walks between
the ... nodes in the graph independently and
perform random walks starting from these nodes. These random walks can be
Graph Data Management and Mining: A Survey of Algorithms and Applications 29
used in...
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Managing and Mining Graph Data part 7 pptx
Ngày tải lên :
03/07/2014, 22:21
... transition any web
page in the collection uniformly at random.
50 MANAGING AND MINING GRAPH DATA
examine the problem of community detection and change detection in a single
framework. This provides ... relationship (SAR) princi-
46 MANAGING AND MINING GRAPH DATA
Let 𝐴 be the set of edges in the graph. Let 𝜋
𝑖
denote the steady state proba-
bility of node 𝑖 in a random walk, and let 𝑃 = [𝑝
𝑖𝑗
] denote ... dissemination in the underlying
Graph Data Management and Mining: A Survey of Algorithms and Applications 41
Densification: Most real networks such as the web and social networks con-
tinue to become...
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Managing and Mining Graph Data part 8 ppt
Ngày tải lên :
03/07/2014, 22:21
... methods, procedures and functions in the program are
nodes, and the relationships between the different methods are defined
as edges. It is also possible to define nodes for data elements and model
relationships ... graphs are created during program execution, and they
represent the invocation structure. For example, a call from one pro-
56 MANAGING AND MINING GRAPH DATA
[10] R. Agrawal, A. Borgida, H.V. Jagadish. ... of simple methods.
60 MANAGING AND MINING GRAPH DATA
[75] M. Fiedler, C. Borgelt. Support computation for mining frequent sub-
graphs in a single graph. Workshop on Mining and Learning with Graphs
(MLG’07),...
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Managing and Mining Graph Data part 9 pdf
Ngày tải lên :
03/07/2014, 22:21
... Query Language and Access Methods for Graph
Databases, appears as a chapter in Managing and Mining Graph Data, ed.
Charu Aggarwal, Springer, 2010.
[97] H. He, Querying and mining graph databases. ... GRAPH DATA
[175] H. Tong, C. Faloutsos, J Y. Pan. Fast random walk with restart and its
applications. In ICDM, pages 613–622, 2006.
[176] S. TrißI, U. Leser. Fast and practical indexing and querying ... fields and harmonic functions. ICML Conference, pages 912–
919, 2003.
Graph Data Management and Mining: A Survey of Algorithms and Applications 65
[159] P. R. Raw, B. Moon. PRIX: Indexing and querying...
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Managing and Mining Graph Data part 10 potx
Ngày tải lên :
03/07/2014, 22:21
... of the WWW, Web “clickstream” data, sales data
in retail chains, file size distributions, and phone usage data.
2.2 Small Diameters
Informal description:. Travers and Milgram [80] conducted a famous ... in the graph, and sum the results to find the total
74 MANAGING AND MINING GRAPH DATA
sented as a table with the schema Graph(fromnode, tonode), the code for
calculating in-degree and out-degree ... [43] conjecture that for many graphs, the neighborhood size 𝑁
ℎ
80 MANAGING AND MINING GRAPH DATA
graphs to random failures, and correlations found in the joint degree distri-
butions of the graphs....
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Managing and Mining Graph Data part 11 ppt
Ngày tải lên :
03/07/2014, 22:21
... generators, we provide citations and a summary.
3.1 Random Graph Models
Random graphs are generated by picking nodes under some random prob-
ability distribution and then connecting them by edges. ... R
«
enyi in the 1960s [40, 41]. Their random graph
model was the first and the simplest model for generating a graph.
Description and Properties. We start with 𝑁 nodes, and for every pair of
nodes, an ... point represents a node and the 𝑥 and 𝑦 coordinates are
its degree and total weight, respectively. To achieve a good fit, we bucketize
the 𝑥 axis with logarithmic binning [64], and, for each bin, we...
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Managing and Mining Graph Data part 12 docx
Ngày tải lên :
03/07/2014, 22:21
... random and preferential attachment Instead of pure prefer-
ential attachment, the endpoints of new edges are chosen according to
a linear combination of preferential attachment and uniform random ... at time
94 MANAGING AND MINING GRAPH DATA
where 𝑘(𝑖) is the degree of node 𝑖. Note that since the generated network is
undirected, we do not need to distinguish between out-degrees and in-degrees.
The ... these edges is given by
𝑃 (edge to existing vertex 𝑣) =
𝑘(𝑣)
∑
𝑖
𝑘(𝑖)
(3.14)
100 MANAGING AND MINING GRAPH DATA
𝑡, and 𝛼 ∈ [0, 1] is a free parameter. To rephrase the equation, in order
to choose...
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