Advances in Data and Web Management: Joint 9th Asia-Pacific Web Conference, APWeb 2007, and 8th International Conference on Web-Age Information Management, WAIM 2007, Huang Shan, China, June 16-18, 2007, ProceedingsGuozhu Dong, Xuemin Lin, Wei Wang, Yun Yang, Jeffrey Xu Yu Springer, 2007. gada 26. jūn. - 898 lappuses The rapid prevalence of Web applications requires new technologies for the - sign, implementation and management of Web-based information systems, and for the management and analysis of information on the Web. The joint AP- Web/WAIM 2007 conference, combining the traditions of APWeb and WAIM conferences,wasaninternationalforumforresearchers,practitioners,developers and users to share and exchange cutting-edge ideas, results, experience, te- niques and tools in connection with all aspects of Web data management. The conference drew together original research and industrial papers on the theory, design and implementation of Web-based information systems and on the m- agement and analysis of information on the Web. The conference was held in the beautiful mountain area of Huang Shan (Yellow Mountains) — the only dual World Heritage listed area in China for its astonishing natural beauty and richandwell-preservedculture. Theseproceedingscollectedthe technicalpapers selected for presentation at the conference, held at Huang Shan, June 16–18, 2007. In response to the call for papers, the Program Committee received 554 full-paper submissions from North America, South America, Europe, Asia, and Oceania. Each submitted paper underwent a rigorous review by three in- pendent referees, with detailed review reports. Finally, 47 full research papers and 36 short research papers were accepted, from Austria, Australia, Canada, China,Cyprus,Greece,HongKong,Japan,Korea,Singapore,Taiwan,andUSA, representing a competitive acceptance rate of 15%. |
No grāmatas satura
1.–5. rezultāts no 76.
51. lappuse
... construct it in Section 3. In Section 4, the IMCS algorithm is proposed and experimental results are given in Section 5. Related work is introduced in Section 6. Finally, we conclude this paper and give some future work. ncremental ...
... construct it in Section 3. In Section 4, the IMCS algorithm is proposed and experimental results are given in Section 5. Related work is introduced in Section 6. Finally, we conclude this paper and give some future work. ncremental ...
54. lappuse
... construct (i)-projected database (Ds)〈i〉 18: if (supDs ((i)) > 0) then 19: create a node t, and t.item ⇐ i, t.sup ⇐ supDs ((i)); 20: add t as a child of n; 3: construct (i)-projected database (Ds; 4: if (supDs ((i)) > 0) then 5 ...
... construct (i)-projected database (Ds)〈i〉 18: if (supDs ((i)) > 0) then 19: create a node t, and t.item ⇐ i, t.sup ⇐ supDs ((i)); 20: add t as a child of n; 3: construct (i)-projected database (Ds; 4: if (supDs ((i)) > 0) then 5 ...
55. lappuse
... constructing a CSTree. We can call ConstructCSTree(root, φ, D, minsup) to construct a CSTree for a sequence database D, where root is the root node (initially no child) of the CSTree. Line 1-7 construct initial single item projected ...
... constructing a CSTree. We can call ConstructCSTree(root, φ, D, minsup) to construct a CSTree for a sequence database D, where root is the root node (initially no child) of the CSTree. Line 1-7 construct initial single item projected ...
56. lappuse
... construct p's full projection, then construct (p;)'s full projection from p's full projection. The full projections constructed for p, and its ancestors can be reused (shared) by other new frequent nodes or changed stub nodes in the ...
... construct p's full projection, then construct (p;)'s full projection from p's full projection. The full projections constructed for p, and its ancestors can be reused (shared) by other new frequent nodes or changed stub nodes in the ...
66. lappuse
... Construct initial TS-tree. The co-regulation information and preliminary ts-clusters of all 1-segments are preserved in this step; (2) Develop initial TS-tree recursively to find all maximal ts-Clusters. Unlike the previous algorithms ...
... Construct initial TS-tree. The co-regulation information and preliminary ts-clusters of all 1-segments are preserved in this step; (2) Develop initial TS-tree recursively to find all maximal ts-Clusters. Unlike the previous algorithms ...
Saturs
1 | |
2 | |
3 | |
4 | |
6 | |
18 | |
30 | |
39 | |
Building Data Synopses Within a Known Maximum Error Bound | 463 |
Exploiting the Structure of Update Fragments for Efficient XML Index Maintenance | 471 |
Improvements of HITS Algorithms for Spam Links | 479 |
Efficient Keyword Search over DataCentric XML Documents | 491 |
Giving New Web Pages a Chance to Prove Their Values | 503 |
Adaptive Scheduling Strategy for Data Stream Management System | 511 |
A QoSGuaranteeing Scheduling Algorithm for Continuous Queries over Streams | 522 |
A Simple But Effective EventDriven Model for Data Stream Queries | 534 |
50 | |
62 | |
74 | |
Improved Prediction of Protein Secondary Structures Using Adaptively Weighted Profiles | 83 |
Framework for Building a HighQuality Web Page Collection Considering Page Group Structure | 95 |
Multidocument Summarization Using Weighted Similarity Between Topic and ClusteringBased Nonnegative Semantic Feature | 108 |
A Fair Load Balancing Algorithm for HypercubeBased DHT Networks | 116 |
Supporting Similarity Search in Unstructured PeertoPeer Networks | 127 |
Generation and Matching of Ontology Data for the Semantic Web in a PeertoPeer Framework | 136 |
EnergyEfficient Skyline Queries over Sensor Network Using Mapped Skyline Filters | 144 |
An Adaptive Dynamic ClusterBased Protocol for Target Tracking in Wireless Sensor Networks | 157 |
Distributed Hierarchical Clustering and Summarization in Sensor Networks | 168 |
A New Similarity Measure for Near Duplicate Video Clip Detection | 176 |
Efficient Algorithms for Historical Continuous kNN Query Processing over Moving Object Trajectories | 188 |
Effective Density Queries for Moving Objects in Road Networks | 200 |
An Efficient Spatial Search Method Based on SGTree | 212 |
Getting Qualified Answers for Aggregate Queries in Spatiotemporal Databases | 220 |
Dynamic Adaptation Strategies for LongTerm and ShortTerm User Profile to Personalize Search | 228 |
Using Structured Tokens to Identify Webpages for Data Extraction | 241 |
Estimating Trustworthiness of Web Information by Search Results Aggregation and Temporal Analysis | 253 |
A Probabilistic Reasoning Approach for Discovering Web Crawler Sessions | 265 |
An Exhaustive and EdgeRemoval Algorithm to Find Cores in Implicit Communities | 273 |
Active Rules Termination Analysis Through Conditional Formula Containing Updatable Variable | 281 |
Computing Repairs for Inconsistent XML Document Using Chase | 293 |
An XML PublishSubscribe Algorithm Implemented by Relational Operators | 305 |
Retrieving Arbitrary XML Fragments from Structured PeertoPeer Networks | 317 |
Combining Smooth Graphs with Semisupervised Learning | 329 |
Extracting Trend of Time Series Based on Improved Empirical Mode Decomposition Method | 341 |
Spectral Edit Distance Method for Image Clustering | 350 |
Mining Invisible Tasks from Event Logs | 358 |
The Selection of Tunable DBMS Resources Using the IncrementalDecremental Relationship | 366 |
Hyperclique Pattern Based OffTopic Detection | 374 |
An Energy Efficient Connected Coverage Protocol in Wireless Sensor Networks | 382 |
A Clustered Routing Protocol with Distributed Intrusion Detection for Wireless Sensor Networks | 395 |
Continuous Approximate Window Queries in Wireless Sensor Networks | 407 |
A Survey of Job Scheduling in Grids | 419 |
Relational Nested Optional Join for Efficient Semantic Web Query Processing | 428 |
Efficient Processing of Relational Queries with Sum Constraints | 440 |
A Theoretical Framework of Natural Computing M Good Lattice Points GLP Method | 452 |
Efficient Difference NN Queries for Moving Objects | 542 |
An Approximate Approach to Adaptively Segment Time Series Stream | 554 |
Continuous kNearest Neighbor Search Under Mobile Environment | 566 |
Record Extraction Based on User Feedback and Document Selection | 574 |
Density Analysis of Winnowing on Nonuniform Distributions | 586 |
ErrorBased Collaborative Filtering Algorithm for TopN Recommendation | 594 |
A PLSABased Approach for Building User Profile and Implementing Personalized Recommendation | 606 |
A Cooperative XML Query Answering System | 614 |
ConceptBased Query Transformation Based on Semantic Centrality in Semantic PeertoPeer Environment | 622 |
Mining InfrequentlyAccessed File Correlations in Distributed File System | 630 |
LearningBased Trust Model for Optimization of Selecting Web Services | 642 |
A New Approach for the Classification and Discovery of Significant Regions in Medical Images | 650 |
ContextAware Search Inside eLearning Materials Using Textbook Ontologies | 658 |
Activate Interaction Relationships Between Students Acceptance Behavior and ELearning | 670 |
SemanticBased Grouping of Search Engine Results Using WordNet | 678 |
Static Verification of Access Control Model for AXML Documents | 687 |
An EÆcient Algorithm for FBIndex Construction | 697 |
An Efficient BottomUp Approach to Mining XML Query Patterns | 709 |
A Web Service Architecture for Bidirectional XML Updating | 721 |
α kanonymity Based Privacy Preservation by Lossy Join | 733 |
Achieving kAnonymity Via a DensityBased Clustering Method | 745 |
kAnonymization Without QS Associations | 753 |
Protecting and Recovering Database Systems Continuously | 765 |
Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships | 777 |
A Dynamically Adjustable Rule Engine for Agile Business Computing Environments | 785 |
A Formal Design of Web Community Interactivity | 797 |
Towards a Type2 Fuzzy Description Logic for Semantic Search Engine | 805 |
A TypeBased Analysis for Verifying Web Application | 813 |
Homomorphism Resolving of XPath Trees Based on Automata | 821 |
An Efficient Overlay Multicast Routing Algorithm for RealTime Multimedia Applications | 829 |
Novel NonGaussianity Measure Based BSS Algorithm for Dependent Signals | 837 |
Mining Webs Favorites | 845 |
Frequent Variable Sets Based Clustering for Artificial Neural Networks Particle Classification | 857 |
Attributes Reduction Based on GACFS Method | 868 |
Towards High Performance and High Availability Clusters of Archived Stream | 876 |
Continuously Matching Episode Rules for Predicting Future Events over Event Streams | 884 |
Author Index | 893 |
Citi izdevumi - Skatīt visu
Advances in Data and Web Management: Joint 9th Asia-Pacific Web Conference ... Guozhu Dong,Xuemin Lin,Wei Wang,Yun Yang,Jeffrey Xu Yu Priekšskatījums nav pieejams - 2007 |
Advances in Data and Web Management: Joint 9th Asia-Pacific Web Conference ... Guozhu Dong,Xuemin Lin,Wei Wang,Yun Yang,Jeffrey Xu Yu Priekšskatījums nav pieejams - 2007 |
Bieži izmantoti vārdi un frāzes
according algorithm applications approach attributes called classification cluster compared Computer condition consider constraint construct contains correlation corresponding cost database dataset defined Definition denotes described distance distribution documents effective efficient engine error evaluate event example execution existing experiments expression extraction Figure frequent function given graph improve increase International join keyword learning Management matching measure method mining neighbors node objects ontology operation patterns peer performance prediction present problem proposed query records represents requirements respectively retrieval root rule scheduling segment selected semantic sensor sequence shown shows similarity space specific step strategy stream structure Table tasks techniques topic tree tuples University update variable
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