Search (3 results, page 1 of 1)

  • × author_ss:"Marshall, B."
  1. Marshall, B.; McDonald, D.; Chen, H.; Chung, W.: EBizPort: collecting and analyzing business intelligence information (2004) 0.01 
    0.0077059045 = product of:
  0.015411809 = sum of:
    0.015411809 = product of:
      0.023117714 = sum of:
        0.007514882 = weight(_text_:a in 2505) [ClassicSimilarity], result of:
          0.007514882 = score(doc=2505,freq=10.0), product of:
            0.052761257 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045758117 = queryNorm
            0.14243183 = fieldWeight in 2505, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2505)
        0.015602832 = weight(_text_:h in 2505) [ClassicSimilarity], result of:
          0.015602832 = score(doc=2505,freq=2.0), product of:
            0.113683715 = queryWeight, product of:
              2.4844491 = idf(docFreq=10020, maxDocs=44218)
              0.045758117 = queryNorm
            0.13724773 = fieldWeight in 2505, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4844491 = idf(docFreq=10020, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2505)
      0.6666667 = coord(2/3)
  0.5 = coord(1/2)
    Abstract
    To make good decisions, businesses try to gather good intelligence information. Yet managing and processing a large amount of unstructured information and data stand in the way of greater business knowledge. An effective business intelligence tool must be able to access quality information from a variety of sources in a variety of forms, and it must support people as they search for and analyze that information. The EBizPort system was designed to address information needs for the business/IT community. EBizPort's collection-building process is designed to acquire credible, timely, and relevant information. The user interface provides access to collected and metasearched resources using innovative tools for summarization, categorization, and visualization. The effectiveness, efficiency, usability, and information quality of the EBizPort system were measured. EBizPort significantly outperformed Brint, a business search portal, in search effectiveness, information quality, user satisfaction, and usability. Users particularly liked EBizPort's clean and user-friendly interface. Results from our evaluation study suggest that the visualization function added value to the search and analysis process, that the generalizable collection-building technique can be useful for domain-specific information searching an the Web, and that the search interface was important for Web search and browse support.
    Type
    a
  2. Marshall, B.; Chen, H.; Kaza, S.: Using importance flooding to identify interesting networks of criminal activity (2008) 0.01 
    0.007441449 = product of:
  0.014882898 = sum of:
    0.014882898 = product of:
      0.022324346 = sum of:
        0.0067215143 = weight(_text_:a in 2386) [ClassicSimilarity], result of:
          0.0067215143 = score(doc=2386,freq=8.0), product of:
            0.052761257 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045758117 = queryNorm
            0.12739488 = fieldWeight in 2386, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2386)
        0.015602832 = weight(_text_:h in 2386) [ClassicSimilarity], result of:
          0.015602832 = score(doc=2386,freq=2.0), product of:
            0.113683715 = queryWeight, product of:
              2.4844491 = idf(docFreq=10020, maxDocs=44218)
              0.045758117 = queryNorm
            0.13724773 = fieldWeight in 2386, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4844491 = idf(docFreq=10020, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2386)
      0.6666667 = coord(2/3)
  0.5 = coord(1/2)
    Abstract
    Effectively harnessing available data to support homeland-security-related applications is a major focus in the emerging science of intelligence and security informatics (ISI). Many studies have focused on criminal-network analysis as a major challenge within the ISI domain. Though various methodologies have been proposed, none have been tested for usefulness in creating link charts. This study compares manually created link charts to suggestions made by the proposed importance-flooding algorithm. Mirroring manual investigational processes, our iterative computation employs association-strength metrics, incorporates path-based node importance heuristics, allows for case-specific notions of importance, and adjusts based on the accuracy of previous suggestions. Interesting items are identified by leveraging both node attributes and network structure in a single computation. Our data set was systematically constructed from heterogeneous sources and omits many privacy-sensitive data elements such as case narratives and phone numbers. The flooding algorithm improved on both manual and link-weight-only computations, and our results suggest that the approach is robust across different interpretations of the user-provided heuristics. This study demonstrates an interesting methodology for including user-provided heuristics in network-based analysis, and can help guide the development of ISI-related analysis tools.
    Type
    a
  3. Reitsma, R.; Marshall, B.; Chart, T.: Can intermediary-based science standards crosswalking work? : some evidence from mining the standard alignment tool (SAT) (2012) 0.00 
    0.0011202524 = product of:
  0.0022405048 = sum of:
    0.0022405048 = product of:
      0.0067215143 = sum of:
        0.0067215143 = weight(_text_:a in 381) [ClassicSimilarity], result of:
          0.0067215143 = score(doc=381,freq=8.0), product of:
            0.052761257 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045758117 = queryNorm
            0.12739488 = fieldWeight in 381, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=381)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)
    Abstract
    We explore the feasibility of intermediary-based crosswalking and alignment of K-12 science education standards. With the increasing availability of K-12 science, technology, engineering, and mathematics (STEM) digital library content, alignment of that content with educational standards is a significant and continuous challenge. Whereas direct, one-to-one alignment of standards is preferable but currently unsustainable in its resource demands, less resource-intensive intermediary-based alignment offers an interesting alternative. But will it work? We present the results from an experiment in which the machine-based Standard Alignment Tool (SAT)-incorporated in the National Science Digital Library (NSDL)-was used to collect over half a million direct alignments between standards from different standard-authoring bodies. These were then used to compute intermediary-based alignments derived from the well-known AAAS Project 2061 Benchmarks and NSES standards. The results show strong variation among authoring bodies in their success at crosswalking, with the best results for those who modeled their standards on the intermediaries. The results furthermore show a strong inverse relationship between recall and precision when both intermediates were involved in the crosswalking.
    Type
    a

Authors

Years