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and Wagner M: ContextWatcher: Connecting to places, people, and the o world , Proceedings of the Demo Track of the 5th International Semantic Web Conference (ISWC 06, Athens, Georgia, November 2006) [15] B hm S, Luther M and Wagner M: Smarter Groups: Reasoning on qualitative information from your o desktop Proceedings of the 1st Workshop on the Semantic Desktop at the 4th International Semantic Web Conference ISWC 05 (Galway, Ireland, November 2005), CEUR-WS Publication, Vol 175, pp 276 280 [16] Boley H, Tabet S and Wagner G: Design Rationale of RuleML: a markup language for semantic web rules Proceedings of the 1st International Semantic Web Working Symposium (SWWS-1, Stanford University, California, July/August 2001), 2001, pp 105 113 [17] de Bruin J and Fensel D: Owl- WSML Deliverable D201, 2005 [18] Bylund M and Espinoza F.

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This cluster has the highest proportion of customers who have ever bought a suit. The proportion who have ever bought career pants is six times higher than cluster 2. The total net sales for this cluster is moderate, lying not far from the overall mean.

Stop AOL Instant Messenger from popping up Open documents from previous versions of Works Open a Microsoft Of ce document Save les so others can read them Clear your document history Use a different Web browser Make Outlook Express your default e-mail program

: Using Quake III Arena to Simulate Sensors and Actuators when Evaluating and Testing Mobile Services Proceedings of the CHI 2001 Conference on Human Factors in Computing Systems (CHI 2001 Seattle, Washington, March/April 2001), ACM Press, 2001, pp 241 243..

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The first line searches for the desired text and changes it (using the sed command), and then puts the result into a temporary file. The second line uses root privileges (using the sudo command) to replace the actual file with the temporary one you just created. You ll be asked for your password in order to complete the command.

Not to be confused with motherboard/NIC Wake-on-LAN functionality, the WakeOnLan settings in Table 6-8 are specifically geared toward the MythTV MBE subsystem. To fully utilize these WakeOnLan settings, you need at least one dedicated server to oversee all your MythTV devices. The beauty of this approach is that only one machine needs to run full time, while others may be powered off during inactivity, thereby conserving energy costs.

Well, no, we can t. Apple spends a lot of time carefully crafting its computers and software, and when you get a Mac, you re generally very happy with what you have. But eventually, after you develop some comfort and facility with your new Mac, you want to find ways to accomplish tasks more quickly and efficiently. And then, after you become something of an expert, you start to realize the incredible depth of the features hidden inside the computer and operating system. That s when curiosity takes over. You might visit an Apple retail store or a user group meeting and see someone using a cool shortcut or showing off a nifty feature you didn t know about. That s when you know you ve crossed over and become a new kind of Mac user, one seeking knowledge about how to make your computing life not only more convenient but also more fun. This book is for people like you (and me) who want to explore, investigate, improve, and play. If you re using a Mac, it s likely you chose to use it it wasn t forced upon you by your company s information technology department. And if you chose to use it, chances are you re ready to discover more cool stuff to do. That s what this book is about.

where the desired condition is a trigger circuit in which the trigger is lower than the Johnson Limit of the bipolar BVCEO reverse breakdown trigger element. In the case of a heavily doped subcollector, the vertical parasitic pnp current gain is low. In this case, the pnp term of the expression is small, and the inequality can be expressed as VT % NVf Em v S 2pfT

Agrawal, R., Gehrke, J., Gunopulos, D., & Raghavan, P. (1998). Automatic subspace clustering of high dimensional data for data mining applications. In Proceedings of the ACM SIGMOD Conference on Management of Data (pp. 94 105). New York: Association for Computing Machinery. Aldenderfer, M. S., & Blash eld, R. K. (1984). Cluster analysis. Thousand Oaks, CA: Sage. Anderberg, M. R. (1973). Cluster analysis for applications. New York: Academic Press. Andrews, D. F. (1972). Plots of high-dimensional data. Biometrics, 28, 125 136. Arabie, P., & Daws, J. (1988). The interface among data analysis, marketing, and knowledge representation. In W. Gaul & M. Schader (Eds.), Data, expert knowledge and decisions (pp. 10 15). Heidelberg, Germany: Springer-Verlag. Arabie, P., & Hubert, L. (1996). Advances in cluster analysis relevant to marketing research. In W. Gaul & D. Pfeifer (Eds.), From data to knowledge, studies in classi cation, data analysis, and knowledge organization (pp. 3 16). New York: Springer. Arabie, P., & Rips, L. (1973). A 3-way data set of similarities between Henley s 30 animals. Unpublished manuscript, Stanford University.

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