gSpan: Graph-Based Substructure. Pattern Mining. Xifeng Yan and ... Output: Set of frequent substructure patterns within a graph dataset. gSpan Overview (2) ...
Department of Computer Science and Engineering. The University ... amine. p. chromaberr. has_group. compound. p. drosophila. slrl. compound. p. drosophila. slrl ...
Previous work defined classification trees. Inadequate in ... Better hierarchical description: classification lattice. A cluster can have ... classification ...
Pattern extraction, classification, clustering. Serial and parallel / distributed versions ... Each cluster (substructure) inserted into a classification lattice ...
... many settings, this 'context-free' approach does not exploit ... The third dataset used in the experiments was the online encyclopedia Wikipedia. Experiments ...
Multi-step = n-nested Riccati Equations (non-linear) Solution: Decomposition ... (n x n) nonlinear Riccati Equation into (2n x 2n) linear system (n x n) (2n x ...
Most papers discuss the power of various versions of RBAC in terms ... Deactivate Role. O(|R|2) Activate Role. O(1) (amortized) O(|S| |R| |U|) Remove Role ...
... consider a new approach, LexRank, for computing sentence importance based on the ... that very high thresholds may lose almost all of the information in a ...
the life-cycle phase (e.g., design or implementation) ... easy to use and customise at different levels of abstraction. 3. ICGT, 10 October 2002, Barcelona ...
Similarity measures of graphs. Edit distance. Papadopolous and ... Powerful structured-based representation ... [11] S. Berretti, A. D. Bimbo, and E. Vicario. ...
A Graph-based Framework for the Modeling of ETL Activities ... Compress/Decompress (Z/dZ) Encrypt/Decrypt (Cr/dCr) Unary operations. Push. Aggregation (?) ...
Main focus is on the precedence relationships between tasks ... Task Precedence Metagraphs (TPMGs) A TPMG is a modified ... Task Precedence Metagraphs (TPMGs) ...
VC. VA. III. Methodology - Learning a latent space graph. A. NxM. NxL ... Statistics of the 15-CONF collection. 19. Hongbo Deng, Michael R. Lyu and Irwin King ...
A Graph-based Approach to Named Entity Categorization in Wikipedia Using ... Discriminative, Undirected Models. Define conditional distribution p(y|x) Features ...
Both learning methodologies seeks to induce a model to predict labels on ... WebKB [Craven 1998] (8 data sets) 4 computer science websites (sizes: 338-434) ...
Recently, various techniques have been proposed for speeding up these analyses ... in which a given set of 80 famous actors occur (e.g., Johnny Depp, Bruce Willis, ...
Large-Scale Network Analysis with the Boost Graph Libraries ... efficient Easy to port from Python to C++ Can port from sequential to parallel Always growing, ...
Constraint: no two vertices can be in the same color class if there is an ... 11 et dixit Deus Salomoni: ' Quia postulasti verbum hoc et non petisti tibi dies ...
NetFlow Very useful for traffic analysis Standard sampler: Cisco Netflow Juniper Traffic Sampling Parameters: Flow export timer (Determines when current flow info is ...
A collection of libraries for computation on graphs/networks. Graph data structures ... Rooster Graph (Scheme) http://savannah.nongnu.org/projects/rgraph ...
Performance Metrics. Conclusions and ... Performance Metrics. Mean Time to detect malicious behavior ... Performance Metrics: Detecting Malicious Behavior ...
1144154983.524877 IP 220.135.232.0.61606 130.207.208.0.32459: . ack 2904096123 ... Open the nam trace file. set nf [open out.nam w] $ns namtrace-all $nf ...
Julia Stoyanovich Columbia University. Srikanta Bedathur. Klaus Berberich ... To improve ranking, exploit mutual reinforcement between pages and entities. ...