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An Entity of Type : prov:Entity, within Data Space : webisadb.webdatacommons.org associated with source dataset(s)

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  • The 'Shoplifting for Christmas 2012' report also revealed the product categories most likely to be stolen over the Christmas period, which include 1) alcohol, 2) women's clothing and fashion accessories, 3) toys, 4) perfume and health & beauty gift packs, 5) electronic devices such as smartphones and tablet computers, toiletries for men, 6) DVD gift sets and game consoles, 7) food and Christmas de
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