"It shows how myriad distributed data streams can be harnessed to fight crime. Through easy-to-read prose, the reader learns how to use both public and private databases and networks to find threats and minimize risks. Besides explaining how data mining is done, the book introduces the reader to such techniques as intelligent agents (software that performs user-delegated tasks autonomously), link analysis (a process involving the mapping of the associations between suspects and locations), and text mining (a process used to identify a document's content based on linguistic analysis) and how they can aid law enforcement. For example, law enforcement in the United Kingdom use text mining to "institutionalize the knowledge of criminal perpetrators and organized gangs and groups," author Jesús Mena writes. Case studies buttress these points.
Mena, Deiner (University of Oviedo at Gijón) | Montañés, Elena (University of Oviedo at Gijón) | Quevedo, José Ramón (University of Oviedo at Gijón) | Coz, Juan José del (University of Oviedo at Gijón)
Probabilistic Classifiers Chains (PCC) offers interesting properties to solve multi-label classification tasks due to its ability to estimate the joint probability of the labels. However, PCC presents the major drawback of having a high computational cost in the inference process required to predict new samples. Lately, several approaches have been proposed to overcome this issue, including beam search and an epsilon-Approximate algorithm based on uniform-cost search. Surprisingly, the obvious possibility of using heuristic search has not been considered yet. This paper studies this alternative and proposes an admisible heuristic that, applied in combination with A* algorithm, guarantees, not only optimal predictions in terms of subset 0/1 loss, but also that it always explores less nodes than epsilon-Approximate algorithm. In the experiments reported, the number of nodes explored by our method is less than two times the number of labels for all datasets analyzed. But, the difference in explored nodes must be large enough to compensate the overhead of the heuristic in order to improve prediction time. Thus, our proposal may be a good choice for complex multi-label problems.
Video surveillance systems are evolving and are using artificial intelligence (AI) to inspect and analyse video footage, interpret patterns and flag unusual activity. Lenovo DCG and Pivot3 provide a state-of-the-art upgraded infrastructure solutions that aim to enhance current technology required to support these systems rather than entrusting the preservation of crucial data to outdated NVR technology. Commenting on the partnership, Dr. Chris Cooper, General Manager for Lenovo DCG, Middle East, Turkey and Africa, said, "We are delighted to showcase our partnership with Pivot3 at one the world's leading technology trade shows. The Middle East is exhibiting tremendous growth in terms of adopting smart solutions. The UAE in particular is investing heavily in implementing the latest innovations in their technological infrastructure; therefore, we see great potential from our partnership with Pivot3 as we work together to supply the appetite for next generation computing products and services."
"AI will play a crucial role within HR systems to reduce effort and provide more robust and accurate data for predictive analysis. But the last question of the day that will always need to be answered is'How much technology is too much?' As technology further enables organisations to gather actionable data-driven insights from within, both HR and the wider business community will need to decide between cost reduction and the enhancement of human capital to drive business goals. As economic pressure develops, this will be a very real problem for businesses to manage, especially as we're getting closer to a world of AI," said Craig Austin, Head of Talent Management and Learning & Development, RAKBANK. Hossam Haggag, VP - Leadership and Talent Management, Jumeirah Group, called attention to the fact that HR technology has become more accessible and user-friendly, even as cost of technology has gone down, adding that technology has become smarter, cheaper and more widespread, and integration of data across multiple systems is easier and more affordable than ever.
Thuraya, the mobile satellite services subsidiary of the Al Yah Satellite Communications Company (Yahsat), the leading UAE-based global satellite operator, and eSAT Global, a pioneer in low cost Satellite IoT connectivity, announced the completion of successful tests validating eSAT's revolutionary Global LPWAN (Low Power Wide Area Network) communications technology over Thuraya's satellite system. As a leading provider of mobile satellite services (MSS) over its geostationary (GEO) satellites, Thuraya offers an expanding range of compelling voice, broadband data, and M2M/IoT capabilities for land, maritime and aeronautical applications. These include cost-effective solutions, catering to a wide range of technical and commercial market requirements. To date, only modest consideration has been given to the use of direct links to GEO MSS satellites for LPWAN connectivity for Internet of Things (IoT) applications.