managing and sharing customer data ppt
Managing Time in Relational Databases: How to Design, Update and Query Temporal Data pptx
... Taxonomy of Methods for Managing Temporal Data 34 The Root Node of the Taxonomy 35 Queryable Temporal Data: Events and States 37 State Temporal Data: Uni-Temporal and Bi-Temporal Data 41 Glossary References ... Kimball’s either/or, they took a both /and stance, and advocated the use of opera- tional data stores (ODSs), historical data warehouses and dimen- sional data marts, with each one serving different ... who really understands bi-temporal data management. Tom’s under- standing, writing abilities and contributions to this work are priceless. His patience and willingness to compromise and work with...
Ngày tải lên: 27/06/2014, 06:20
Managing and Mining Graph Data part 1 pptx
... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 5 pptx
... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 7 pptx
... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 8 ppt
... 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),...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 11 ppt
... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 13 pptx
... 104 MANAGING AND MINING GRAPH DATA where 𝑑 𝑖𝑗 is the distance between nodes 𝑖 and 𝑗, ℎ 𝑗 is some measure of the “centrality” of node 𝑗, and 𝛼 is a constant that controls ... devastating. 110 MANAGING AND MINING GRAPH DATA The recursive nature of the partitions means that we automatically get sub-communities within existing communities (say, “RedHat” and “Mandrake” enthusiasts ... parameters as possible. There should be a fast parameter-fitting algorithm. 102 MANAGING AND MINING GRAPH DATA Description and properties:. As an example, suppose we have a for- est which is prone...
Ngày tải lên: 03/07/2014, 22:21
báo cáo hóa học:" L^{infty} estimates of solutions for the quasilinear parabolic equation with nonlinear gradient term and L^1 data" ppt
... comments and suggestions. References [1] Andreu, F, Segura de le´on, S, Toledo, J: Quasilinear diffusion equations with gradient terms and L 1 data. Nonlinear Anal. 56, 1175–1209 (2004) [2] Andreu, ... data u 0 (x) is investigated in Section 5. 2 Preliminaries and main results Let Ω be a bounded domain in R N with smooth boundary ∂Ω and · r , · 1,r denote the Sobolev space L r (Ω) and ... p, q, α, β and the function g(u). (H 1 ) the parameters α, β > 1, 0 ≤ p < q < m + 2 < N, p +α < q +β and q(α − 1) ≥ p(β −1), (H 2 ) the function g(u) ∈ C 1 and ∃K 1 ≥ 0 and 0 ≤ ν...
Ngày tải lên: 21/06/2014, 20:20
Managing and Mining Graph Data part 62 pdf
... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 2 docx
... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 3 potx
... 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...
Ngày tải lên: 03/07/2014, 22:21
Managing and Mining Graph Data part 4 ppsx
... 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...
Ngày tải lên: 03/07/2014, 22:21
Bạn có muốn tìm thêm với từ khóa: