Data Mining: Next Generation Challenges and Future Directions Book

1	Existential pleasures of distributed data mining	3
2	Research issues in mining and monitoring of intelligence data	27
3	A consensus framework for integrating distributed clusterings under limited knowledge sharing	47
4	Design of distributed data mining applications on the knowledge grid	67
5	Photonic data services : integrating data, network and path services to support next generation data mining applications
6	Mining frequent patterns in data streams at multiple time granularities	105
7	Efficient data-reduction methods for on-line association rule discovery	125
8	Discovering recurrent events in multichannel data streams using unsupervised methods	147
9	Data mining for counterterrorism	157
10	Biosurveillance and outbreak detection	185
11	MINDS - Minnesota intrusion detection system	199
12	Marshalling evidence through data mining in support of counter terrorism	219
13	Relational data mining with inductive logic programming for link discovery	239
14	Defining privacy for data mining	255
15	Mining temporally-varying phenomena in scientific datasets
16	Methods for mining protein contact maps	291
17	Mining scientific data sets using graphs	315
18	Challenges in environmental data warehousing and mining	335
19	Trends in spatial data mining	357
20	Challenges in scientific data mining : heterogeneous, biased, and large samples	381
21	Web mining - concepts, applications, and research directions	405
22	Advancements in text mining algorithms and software	425
23	On data mining, semantics, and intrusion detection : what to dig for and where to find it	437
24	Usage mining for and on the semantic Web	461