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TABLE II HEURISTIC DISCORD DISCOVERY

in Finding the unusual medical time series: Algorithms and applications
by Eamonn Keogh, Jessica Lin, Ada Fu, Helga Van Herle
Cited by 1

TABLE I BRUTE FORCE DISCORD DISCOVERY

in Finding the unusual medical time series: Algorithms and applications
by Eamonn Keogh, Jessica Lin, Ada Fu, Helga Van Herle
Cited by 1

Table 1. Context discovery mechanisms analysis results.

in Interoperating Context Discovery Mechanisms
by Tom Broens, Remco Poortinga, Jasper Aarts 2007
"... In PAGE 4: ... We analysed a subset of these mechanisms consisting of four approaches developed in the AWARENESS project (CMF, CCS, CDF, JEXCI)[3], and one approach developed in the AMIGO project (CMS)[7] and four external approaches (Context Toolkit [5], PACE [2], Solar [8], and JCAF[4]). The result of our analysis is presented in Table1 . The analysis consisted of review- ing the following aspects of the different discovery mechanisms: Interaction mechanism: what interaction mechanisms do the analyzed discov- ery mechanisms support? Interaction syntax: what information is expressed in the context discovery re- quest? Interaction format: what is the data format of the request and response? ... ..."
Cited by 1

Table 2. Discord identification performances

in UNUSUAL SUB-SEQUENCE IDENTIFICATIONS IN TIME SERIES WITH PERIODICITY
by Rawshan Basha, Jamal Ameen 2005

Table 3 Reasons for diagnostic discordance

in unknown title
by unknown authors 2003

Table 2. No. of head movements for the disk I/O re- quests from the leaf-focus process Requested cylinder Original LOOK Focus-aware LOOK

in Towards a Responsive, Yet Power-efficient, Operating System: A Holistic Approach ∗
by unknown authors
"... In PAGE 5: ...f first. Fig. 5(b) shows the disk head movements for Exam- ple 2 using the focus-aware LOOK algorithm. Table2 com- pares the number of head movements for the requests from the leaf-focus process using the above two algorithms. The average reduction of head movement for the focus-aware LOOK algorithm is 32.... ..."

Table 6. Marker typing discordancy rates

in unknown title
by unknown authors 1995
Cited by 16

Table 2: Summary of discordance of discriminating targets

in unknown title
by unknown authors 2006
"... In PAGE 7: ... Cluster analysis based on the expression pro- files of the 1,096 common ANOVA targets available in a larger variety of tissue samples yielded biologically rele- vant sample groups, consistent with the 3 major clusters observed in Figure 4A. Based on the ANOVA results we found the least amount of commonality from the Amersham data ( Table2 ). Of the 287 targets unique to Amersham, 171 were available (not filtered) for all platforms, 28 of which were expressed at high levels (not shown) and 47 yielded p values gt; 0.... In PAGE 7: ... It must be noted that the numbers indicating the targets unique to a platform or common to 2 platforms include targets that may have been filtered out by the other platform(s) during the pre- processing. See Table2 for a summary of platform-unique targets that were available (not filtered) for all platforms. The Venn diagram to the right shows the overlap of the 2,135 targets discriminating MCF7 and Batt P12 samples (p lt; 0.... ..."

Table 1: t-test Discordance

in
by unknown authors

TABLE 2. Summary of discordant HPV results

in Comparison of the . . . AMPLICOR and LINEAR ARRAY Human Papillomavirus (HPV) Tests in Detecting High-Risk HPV Genotypes in Specimens from Women with Previous Abnormal Pap Smear Results
by Matthew P. Stevens, Suzanne M. Garland, Elice Rudland, Jeffrey Tan, Michael A. Quinn, Sepehr N. Tabrizi 2006
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