Profiling. The Parties recognise the importance of profiling to monitor and analyse the Apprentice’s/Xxxxxxx’s performance against the competencies required by their training package and agree to the following: ▪ The Employer shall ensure that they provide sufficient scope of work for Apprentices/Trainees as required by the contract of training; ▪ The Employer shall ensure that Apprentices/Trainees complete the profiling sheets on a regular basis (weekly if practicable); ▪ The supervising trade-qualified Employees shall (while not certifying that the Apprentice/Trainee is competent in the described tasks) validate accurate profiling sheets with their signature where required; ▪ The Apprentices/Trainees shall complete and submit their profiling sheets on a regular basis (ie sheets shall be submitted at a maximum interval of 4 weeks).
Profiling. Insurance market players calculate premiums by benchmarking client’s attributes against other clientele’s attributes and propensities for the eventuality of insured events. This provides insurance market participants to analyze and collect data of all concerned insureds, beneficiaries or claimants to model such propensities. Accordingly, such information may be used by MIB in order to match and ultimately create the models required, and subsequently used, to formulate the premium pricing. Special Categories of personal data and Criminal Records information may be used by MIB in such modelling process.
Profiling. 14.1 Client gives its consent to the profiling of Personal Data that was given to Provider, for the purpose of proper maintenance and providing the Service to Client. Client agrees that the profiling of data shall serve, in particular, the purpose of providing Client with content that is accurate and consistent with the scope of the Service used by Client. Client acknowledges that it has the right not to be profiled. In such case the request can be made at any time at xxxxxxx@xxxxxxxxxxx.xxx. The Parties undertake reasonable steps and efforts to eliminate profiling however in case of withdrawing the consent, Client is aware and acknowledges that it is tantamount to the lack of possibility to provide the service. Withdrawing the consent is tantamount to the termination of the Agreement. [Remainder of Page Intentionally Left Blank; Signature Pages to Follow] EXECUTED by and on behalf of: Provider Free Call, Inc. Name: Xxxxxx Xxxxxxx Role: Chief Operating Officer Email: xxxxxxx@xxxxxxxxxxx.xxx Date: EXECUTED by and on behalf of Client ......................................................................... ......................................................................... Name: (required) Role: (required) Signature date: (required) Email: (required) EXHIBIT A TO DATA PROCESSING ADDENDUM: DETAILS OF PROCESSING • Duration of the Processing: The duration of data processing shall be for the term agreed between Client and Provider in the Agreement (or an applicable Order Form) which is the duration of the Agreement and after the termination or expiration of the Agreement for the time it takes for the claims to be barred. The objective of the data processing is performing Services and securing (establishing, investigating or defending) claims that may arise due to the performance of the Services.
Profiling. The parties recognise the importance of profiling in analysing the apprentice’s/trainee’s performance against industry set national standards of competency, therefore agree to the following: ▪ Employer shall ensure that they provide sufficient scope of work for apprentices/trainees as required by the contract of training. ▪ Employer shall ensure that apprentices/trainees complete the profiling sheets on a regular basis (weekly if practicable). ▪ Supervising trade qualified employees shall (while not certifying that the apprentice/trainee is competent in the described tasks) validate accurate profiling sheets with their signature where required. ▪ Apprentices/Trainees shall complete and submit their profiling sheets on a regular basis whereby, sheets shall be submitted at a maximum interval of four weeks. Part 3: Conditions of Employment
Profiling. Mutual Information algorithm takes as input two time series representing two random variables. For QualiMaster these time series are stock price values. In order to calculate the MI between two random variables the Probability Density Functions have to be estimated. In this work histograms were used for pdf estimation. The output of the histograms is p(x), p(y) and p(x, y). These functions are represented by 1-D arrays for p(x) and p(y), and a 2-D array for p(x, y). The quality of the pdf depends on the number of Bins selected for the application. The execution time of the pdf estimation increases with the amount of input data that is the length of the time series. On the Table6 below we present the pdf estimation processing time for different sizes of time series length. Time Series Length Execution time (ms) 100000 1.53 10000000 143 Table 6:Pdf estimation As shown on the previous table the pdf estimation execution time increases linearly with the increase of the input data. As mentioned above, the quality of the pdf increases with the number of Bins, but increasing the number of Bins leads to squared increase of the execution time for MI calculation. MI iterates over the pdfs based on equation (1), which has a computational complexity of O(n2). The Table7 below presents the relation between the number of Bins and the MI Sum execution time. Num. Of Bins Execution time (ms) 100 0.11 500 24.5 1000 98.2 5000 2460 10000 9870 Table 7:MI calculation Taking into account both Tables 6 and 7, the MI calculation execution time is the most time consuming part of the MI calculation software. Although when a small number of Bins is used and a very high amount of time series data pdf estimation can become more time consuming than MI calculation, e.g. using 500 Bins (24.5 ms) and time series with 107 length (143 ms). Even though pdf estimation can become more time consuming than MI calculation for certain parameters, it is not the average case. On the average case, e.g. 1000 Bins and 105 time series length, pdf estimation is 2% of the execution time. Because MI calculation (equation (1)) takes 98% of the total execution time, it was chosen to be implemented on hardware.
Profiling. Transfer Entropy (TE) algorithm takes as input two time series representing two random variables. For QualiMaster these time series are stock price values like in Mutual Information. In order to calculate the TE between two random variables the Probability Density Functions have to be estimated. For TE, just like Mutual Information, histograms were used for pdf estimation. The output of the histograms are p(x), p(x, y), p(xn+1, x) and p(xn+1, x, y). These functions are represented by a 1-D array for p(x), two 2-D arrays for p(x, y) and p(xn+1, x), and one 3-D array for p(xn+1, x, y). The execution time of the pdf estimation increases with the amount of input data that is the length of the time series. On the Table below we present the pdf estimation processing time for different sizes of time series length. Time Series Length Execution time (ms) 100000 4.1 1000000 47.5 10000000 539 100000000 5124 Table 12:pdf estimation As shown on the previous table the pdf estimation execution time increases linearly with the increase of the input data. As mentioned above, the quality of the pdf increases with the number of Bins, but increasing the number of Bins leads to cube increase of the execution time for TE calculation. TE iterates over the pdfs based on equation (2), which has a computational complexity of O(n3). The Table below presents the relation between the number of Bins and the TE execution time. Num. Of Bins Execution time (ms) 100 32 200 250 500 3930 1000 34150 1200 54132 Table 13:TE calculation Just like with Mutual Information, for very small number of Bins and very large time series lengths the pdf estimation can be more time consuming. On the average case (1000 Bins, 105-106 time series length) the TE execution time takes 98% of the total execution time. So the TE calculation part of the software was implemented on hardware.
Profiling. In order to provide you with a more personalized service each time you visit our hotel, we keep a profile about you. This profile includes information about your previous stays (such as how often you visit our hotel, when you visited our hotel the last time as well as financial information about your past stays and which room you stayed in).
Profiling. Automated processing of personal data consisting of the use of personal data to evaluate certain personal aspects relating to a natural person, in particular to analyse or predict aspects concerning that natural person's performance at work, economic situation, health, personal preferences, interests, reliability, behaviour, location or movements.
Profiling. We do not use automated decision making or profiling as defined in Art 22 GDPR.
Profiling. During the course of the Collaboration Program Term (provided that the Collaboration Program Term has been extended beyond the Initial Term), Merck will use reasonable commercial efforts to study [ * ] Merck NCEs in either one or more CPCSs or as otherwise utilizing the clinical trial methodology described in Section 2.4.8. If Merck exercises its Product Exclusivity License but fails to have so studied [ * ] Merck NCEs by the [ * ] of the end of the Collaboration Program Term, then FHT’s obligations under Section 2.9 shall expire thirty (30) days after such [ * ] unless, during such thirty (30) day period, Merck pays FHT [ * ] payment for each of such [ * ] Merck NCEs not so studied by the end of such time period.
