managing and sharing data training resources

... taken for handling input data are as followed: - Upload data on Data Lake, and assign a GUID to each data object - Filter and convert data from VCF files, and then upload the converted data to Elasticsearch ... distinct data models: the graph data model for managing raw data and the document data model for data exploration and visualization.Utilizing the graph data model for raw data management effectively ... a data center, a data lake utilizes digital IDs and associated metadata for data organization, but it does not require a predefined data model.A data lake enables the efficient collection and

Ngày tải lên: 10/12/2021, 19:35

... 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 ... representation of the relationships between the different methods and data elements of a program Different kinds of edges are used to denote control and data dependencies The first step is to determine conditional ... Community Evolution in Data Streams SIAM Conference on Data Mining, 2005. Trang 6[10] R Agrawal, A Borgida, H.V Jagadish Efficient Maintenance of Tran-sitive Relationships in Large Data and Knowledge

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 Ph.D ... and computer science. Keywords: Power laws, structure, generators © Springer Science+Business Media, LLC 2010 C.C Aggarwal and H Wang (eds.), Managing and Mining Graph Data, 69 Advances in Database ... 2002. [161] K Riesen, X Jiang, H Bunke Exact and Inexact Graph Matching: Methodology and Applications, appears as a chapter in Managing and Mining Graph Data, ed Charu Aggarwal, Springer, 2010. [162]

Ngày tải lên: 03/07/2014, 22:21

... tradeoffs between yield (or profit), resources (to prevent a risk from causing damage) and tolerance to risks. 102 MANAGING AND MINING GRAPH DATA Description and properties:. As an example, suppose ... 𝑖𝑗 + ℎ 𝑗 (𝑗 < 𝑖) (3.18) 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 ... current degree of node 𝑣 and 𝑑(𝑢, 𝑣) is the Euclidean distance between the two nodes. The values 𝛼 and 𝜎 are parameters, with 𝛼 = 𝜎 = 1 108 MANAGING AND MINING GRAPH DATA giving the best fits

Ngày tải lên: 03/07/2014, 22:21

... words, for any nodes 𝑋𝑖 and𝑋𝑗 in𝒜 and 𝑋𝑘 and𝑋ℓinℬ, we have nodes𝑋𝑖,𝑘and𝑋𝑗,ℓin the Kronecker product𝒞, and an edge connects them iff the edges(𝑋𝑖, 𝑋𝑗) and (𝑋𝑘, 𝑋ℓ) exist in𝒜 and ℬ The Kronecker product ... Knowl-edge Discovery and Data Mining, New York, NY, 2001 ACM Press. [35] Sergey N Dorogovtsev and Jos«e Fernando Mendes Evolution of Net-works: From Biological Nets to the Internet and WWW Oxford University ... Rajagopalan, and Andrew Tomkins The web as a graph: Measurements, models and methods In International Computing and Combinatorics Conference, Berlin, Germany, 1999 Springer [52] Paul L Krapivsky and Sidney

Ngày tải lên: 03/07/2014, 22:21

... V1.label = ’A’ AND V2.label = ’B’ AND V3.label = ’C’ AND V1.vid = E1.vid1 AND V1.vid = E3.vid1 AND V2.vid = E1.vid2 AND V2.vid = E2.vid1 AND V3.vid = E2.vid2 AND V3.vid = E3.vid2 AND V1.vid <> ... 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_4, 125 Trang 5126 MANAGING AND MINING GRAPH DATAKeywords: Graph ... set of terminals and nonter-minals, and a finite set of production rules A production rule consists of a Trang 9130 MANAGING AND MINING GRAPH DATAnonterminal on the left hand side and a sequence

Ngày tải lên: 03/07/2014, 22:21

... GraphQL is contained in Datalog This is proved by translating graphs, graph patterns, and graph templates into facts and rules of Datalog Trang 8Theorem 4.6 (GraphQL ⊆ Datalog) For any GraphQL ... attributes and structures are clearly separate Figure 4.7 shows a sample graph that represents a paper (the graph has no edges) Node𝑣1 has two attributes “title” and “year” Nodes𝑣2 and𝑣3have a ... structures and attributes We use a matched graph to denote the binding between a graph pattern and a graph Definition 4.3 (Matched Graph) Given an injective mapping 𝜙 between a pat-tern 𝒫 and a graph

Ngày tải lên: 03/07/2014, 22:21

... is the refinement level, 𝑑1 and 𝑑2 are maximum degrees of 𝒫 and 𝐺 respectively, and𝑀 () is the time complexity of maximum bipartite matching (𝑂(𝑛2.5) for Hopcroft and Karp’s algorithm [19]) Figure ... using neighborhood subgraphs and profiles The resulting search spaces are also shown for different pruning techniques. Figure 4.16 shows the sample graph pattern 𝒫 and the database graph 𝐺 again for ... 21 these pairs are marked and checked again (line 14) Second, the⟨𝑢, 𝑣⟩ pairs are stored and manipulated using a hashtable instead of a matrix This reduces the space and time complexity from𝑂(𝑘⋅

Ngày tải lên: 03/07/2014, 22:21

... recently, XML databases have been studied intensively for tree-based data models and semistructured data. XML databases can be generally im- plemented in two approaches: mapping to relational database ... semistructured and does not cast strict and pre- defined data types or schemas on nodes, edges, and graphs. In contrast, SQL presumes a strict schema in order to store data. OODB requires objects (nodes and ... 158 MANAGING AND MINING GRAPH DATA [3] S. Berretti, A. D. Bimbo, and E. Vicario. Efficient matching and index- ing of graph models in content-based retrieval. In IEEE Trans. on Pattern Analysis and

Ngày tải lên: 03/07/2014, 22:21

... fetching a candidate graph from the disk, and 𝑇 𝑖𝑠𝑜 𝑡𝑒𝑠𝑡 is the average time of checking a subgraph isomorphism, which is conducted over query 𝑄 and graphs in the candidate answer set. The candidate ... support constraint will select and index small structures with low minimum supports and large structures with high minimum supports. 166 MANAGING AND MINING GRAPH DATA This method has two advantages: ... effectively and efficiently used as indexing features for graph databases. It was observed that the majority of frequent graph patterns discovered in many applications 168 MANAGING AND MINING GRAPH DATA

Ngày tải lên: 03/07/2014, 22:21

... 112–115, 2002 Trang 8[13] R Goldman and J Widom Dataguides: Enabling query formulation andoptimization in semistructured databases In Proc of 1997 Int Conf on Very Large Data Bases (VLDB’97), pages 436–445, ... CA, 1980 [25] E Petrakis and C Faloutsos Similarity searching in medical image data-bases Knowledge and Data Engineering, 9(3):435–447, 1997. [26] M Petrovic, H Liu, and H Jacobsen G-ToPSS: Fast ... J Wang, and R Giugno Algorithmics and applications oftree and graph searching In Proc of the 21th ACM Symp on Principles of Database Systems (PODS’02), pages 39–52, 2002. [29] A Shokoufandeh,

Ngày tải lên: 03/07/2014, 22:21

... nodes, 𝑢 and 𝑣, are said to be in a strongly connected component, if and only if both 𝑢 ↝ 𝑣 and 𝑣 ↝ 𝑢 are true. And in a strongly connected component, for every two nodes, 𝑢 and 𝑣, 𝑢 ↝ 𝑣 and 𝑣 ↝ ... Trißl and Leser in [32] use the SIT coding scheme in a different way. Instead of using SSPI and run time stacks, Trißl and Leser focus on how to traverse the 188 MANAGING AND MINING GRAPH DATA ... effectively. The dominance of graphs in real-world applications demands new graph data management so that users can access graph data effectively and efficiently. Graph reachability (or simply reachability)

Ngày tải lên: 03/07/2014, 22:21

... tccode(𝑤) for the node 𝑤 in Trang 8𝐺↓and𝐺↑ In particular,𝑝𝑜↓(𝑤) and 𝑝𝑜↑(𝑤) indicate the postorder of 𝑤, and𝐼↓(𝑤) and 𝐼↑(𝑤) indicate the intervals of 𝑤, in 𝐺↓and𝐺↑, respectively Second, based on ... where 𝑢∈ 𝐺𝑖 and𝑣∈ 𝐺𝑗, and let 𝑉 (𝐺𝑖) and 𝑉 (𝐺𝑗) denote the sets of nodes in 𝐺𝑖 and𝐺𝑗 It is done using the following two operations For all𝑎∈ 𝑎𝑛𝑐𝑠(𝑢) ∩ 𝑉 (𝐺𝑖), 𝐿𝑜𝑢𝑡(𝑎)← 𝐿𝑜𝑢𝑡(𝑎)∪ 𝐿′ 𝑜𝑢𝑡(𝑢), and For ... cover [1] and the chain cover [24, 9] Both tree cover and chain cover coding schema answer reachability queries only using the predicates, 𝒫𝑡𝑐(, ) and𝒫𝑐(, ), respectively On the other hand, the

Ngày tải lên: 03/07/2014, 22:21

... 2-hop clusters based on 𝑤 ∈ 𝑊 and any nodes that connect via 204 MANAGING AND MINING GRAPH DATA 𝑤 are included in 𝐴 𝑤 and 𝐷 𝑤 . And all 𝑤 ∈ 𝑊 are added into 𝐿 𝑜𝑢𝑡 (𝑎) and 𝐿 𝑖𝑛 (𝑑). Upon the deletion ... identifies all pairs of nodes, 𝑣 𝑖 and 𝑣 𝑗 , such that (𝑣 𝑖 , 𝑣 𝑗 ) ∈ 𝐺 𝐷 , label(𝑣 𝑖 ) = 𝐴, and label(𝑣 𝑗 ) = 𝐷. An edge (𝐴, 𝐷) ∈ 𝐸(𝐺 𝑞 ) 208 MANAGING AND MINING GRAPH DATA represents a reachability ... 𝑤) > 𝛿(𝑎, 𝑤). 206 MANAGING AND MINING GRAPH DATA w D w A w G i x 1 x d x 2 a A 2-hop cluster in PSG Figure 6.11. The 2-hop Distance Aware Cover (Figure 2 in [10]) Cheng and Yu in [10] discuss

Ngày tải lên: 03/07/2014, 22:21

... 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_7, 217 Trang 6218 MANAGING AND MINING GRAPH DATA1 Introduction ... node labeling function, and Trang 8220 MANAGING AND MINING GRAPH DATAa b c d e f g (d) Figure 7.1 Different kinds of graphs: (a) undirected and unlabeled, (b) directed and unlabeled, (c) undirected ... 1988. [32] S TrißI and U Leser Fast and practical indexing and querying of very large graphs In Proceedings of the 2007 ACM SIGMOD international conference on Management of data (SIGMOD 2007),

Ngày tải lên: 03/07/2014, 22:21

... structure and labeling A standard set of edit operations is given by insertions, deletions, and substitu-tions of both nodes and edges Note that other edit operasubstitu-tions, such as merging and ... graph𝑔1and the target graph𝑔2, the idea of graph edit dis-tance is to delete some nodes and edges from𝑔1, relabel (substitute) some of the remaining nodes and edges, and insert some nodes and edges ... replicator equa-tions [61], and on graduated assignment [28] Random walks in graphs [29, 69], approximate least-squares and interpolation theory algorithms [91], and random graphs [99] have also

Ngày tải lên: 03/07/2014, 22:21

... 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_8, 249 250 MANAGING AND MINING GRAPH DATA 1. Introduction ... Learning and Data Mining in Pattern Recognition, 2009. [69] A. Robles-Kelly and E.R. Hancock. String edit distance, random walks and graph matching. Int. Journal of Pattern Recognition and Artificial ... documents (semi-structured data), relational databases (structured data), and all kinds of schema-free graph data. Recently, query processing over graph-structured data has attracted increas-

Ngày tải lên: 03/07/2014, 22:21

... frequency. 3. Keyword Search on Relational Data A tremendous amount of data resides in relational databases but is reachable via SQL only. To provide the data to users and applications that do not have ... physical database design (e.g., the availability of indexes on various database columns) for building compact data structures critical for efficient keyword search over relational databases. 262 MANAGING ... the answer set are interconnected, and XSEarch proposes an all- pairs index to efficiently check the connectivity between the nodes. 258 MANAGING AND MINING GRAPH DATA In addition to using a more

Ngày tải lên: 03/07/2014, 22:21

... 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...

Ngày tải lên: 09/12/2013, 15:15

... 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