Association mining often produces large collections of association rules that are difficult to understand and put into action. In this paper, we have designed a novel notion of combined patterns to extract useful and actionable knowledge from a large amount of learned rules. We also present definitions of combined patterns, design novel metrics to measure their interestingness and analyze the r...

We propose to demonstrate a system that helps enterprises manage their social Customer Relationship Management (CRM) presence. Our system performs deep analytics over consumer posts and authors to help companies monitor their CRM presence, and to identify and respond to actionable posts. In this paper we share challenges and experiences in building this system. Findings yield a step change in t...

This paper discusses actionable knowledge generation. Actionable knowledge is explicit symbolic knowledge, typically presented in the form of rules, that allows the decision maker to recognize some important relations and to perform an action, such as targeting a direct marketing campaign, or planning a population screening campaign aimed at targeting individuals with high disease risk. The dis...

We employed a customized Multiple Myeloma (MM)-specific Mutation Panel (M(3)P) to screen a homogenous cohort of 142 untreated MM patients for relevant mutations in a selection of disease-specific genes. M(3)Pv2.0 includes 77 genes selected for being either actionable targets, potentially related to drug-response or part of known key pathways in MM biology. We identified mutations in potentially...

Agents that communicate back and forth with humans to help them execute nonlinguistic tasks are a long sought goal of AI. These agents need to translate between utterances and actionable meaning representations that can be interpreted by task-specific problem solvers in a contextdependent manner. They should also be able to learn such actionable interpretations for new predicates on the fly. We...

The concept of Enterprise Architecture (EA) is typically associated with popular EA frameworks. However, EA frameworks are far from the practical realities and typically adapted or simplified to fit the needs of specific organizations. Even if used as information sources, they hardly explain the real essence of an EA practice. The frameworks-free conceptualization of EA as a set of Principles, ...

The main characteristics of Service-oriented Architecture (SOA) are explained, as well as the usage of Business Intelligence (BI) solutions as Web services in an SOA environment. With the evolution of BI, a focus is shifted from technology to organizational impacting factors, making Web services and SOA technologies more and more attractive. Organizations that choose a Web services and SOA stra...