This paper reviews the use of data mining (DM) for extracting patterns from large databases, held by companies such as banks, retailers and telco operators. The DM process is discussed, together with the ideal architecture, for applying this approach in a data warehouse environment. Some related techniques are identifi edadvanced data visualization tools for converting large volumes of data into pictorial form together with text mining and social network analysis for extracting structured data from unstructured text and relationships. The role of contact optimization is highlighted, as a method for optimizing the business value that a company can achieve from its DM activities. Finally, the paper suggests some initial steps in selecting a DM software product and offers the author ' s personal guidelines for the types of product that are likely to be most useful in different situations.
There is a paucity of empirical data to assist clinicians in choosing interventions to use with patients with complex dissociative disorder (DD; i.e., dissociative identity disorder and dissociative disorder not otherwise specified) at different stages in treatment. This study compared interventions used by a sample of international outpatient therapists treating DD clients in the 1st 2 stages of treatment with those recommended by expert DD therapists. There were many similarities between therapists' and experts' interventions, including the use of several emotion regulation and dissociation-focused interventions. However, community therapists reported significantly less focus on relationally oriented interventions, teaching and using grounding and containment skills, and stabilizing patients after revictimization by alleged perpetrators. This study has important implications for the development and implementation of training opportunities for DD therapists.
The recent census in the UK, taken in March 2011, may also have been our last - since the Office for National Statistics has announced that it intends to explore alternative more cost-effective options for ‘census taking’ in the future. In this paper, we consider what the options may be, based on approaches and experiences from other countries, and assess their implications for users. We start by reminding ourselves about the value of the census and the strengths and weaknesses of the current approach. We then identify the principal methods being followed in other countries, together with their advantages and disadvantages. This leads us to review methodological work in the UK, building up to the current ‘Beyond 2011’ ONS project. We focus on administrative records as a possible way of removing the need for a full population survey. Finally, we assess the options and discuss the implications for users in market research.
outputs and their dissemination, which have a direct impact on the opportunities to leverage the census for customer analysis; these developments are summarised in the section below. The third section describes ways in which the 2001 census data can add value for customer analysis. Census data may be leveraged in two main ways: as sources of demographic information and as sources for geographical targeting. The main focus, however, will be on the new opportunities to use detailed census and customer databases in combination, for custom-built analytics. KEY DEVELOPMENTS IN CENSUS OUTPUTS AND DISSEMINATION OF RESULTS One number census A major development for the 2001 census has been the introduction of the 'one number census' (ONC) as a strategy to overcome the issue of under-coverage
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